Utility Matrix
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
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Calidad y seguridad
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Hallazgos (46)
- LOWTool 'reserved-instance-breakeven' description lacks action verben reserved-instance-breakeven
- LOWTool 'dora-metrics-calculator' description lacks action verben dora-metrics-calculator
- LOWTool 'query-cost-estimator' description lacks action verben query-cost-estimator
- LOWTool 'change-failure-rate-calculator' description lacks action verben change-failure-rate-calculator
- LOWTool 'cloud-waste-calculator' description lacks action verben cloud-waste-calculator
- LOWTool 'deployment-frequency-calculator' description lacks action verben deployment-frequency-calculator
- LOWTool 'ec2-cost-calculator' description lacks action verben ec2-cost-calculator
- LOWTool 'software-purchase-risk-calculator' description lacks action verben software-purchase-risk-calculator
- LOWTool 'terraform-plan-cost-estimator' description lacks action verben terraform-plan-cost-estimator
- LOWTool 'total-cost-of-ownership-calculator' description lacks action verben total-cost-of-ownership-calculator
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
~14,014Tokens (definiciones de herramientas)
~4.8 KBTamaño de respuesta típico
Impacto significativo en la atención (10.95% del contexto de 128k)
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"utility-matrix": {
"url": "https://utility-matrix.com/mcp"
}
}
}Puntos de conexión remotos
https://utility-matrix.com/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (31)
🟢 Solo lectura🟡 Escritura🔴 Eliminación⚪ Desconocido
🟢error-budget-calculator(slo_pct, window_days, consumed_minutes, window_elapsed_days)
Use this when a user asks about their SLO error budget, remaining error budget, or burn rate. Given SLO percentage and window, returns budget minutes remaining, burn rate multiplier, and status (Under budget / Elevated / ALERTING).
Esquema de entrada
{
"type": "object",
"properties": {
"slo_pct": {
"type": "number",
"minimum": 0.001,
"maximum": 99.9999,
"description": "Service-level objective target expressed as a percentage.",
"examples": [
0.001
]
},
"window_days": {
"type": "number",
"minimum": 1,
"description": "Length of the service-level objective window in days.",
"examples": [
1
]
},
"consumed_minutes": {
"type": "number",
"minimum": 0,
"description": "consumed in minutes.",
"examples": [
1
]
},
"window_elapsed_days": {
"type": "number",
"minimum": 0,
"description": "window elapsed days used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"slo_pct"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"budget_minutes": {
"type": "number"
},
"burn_rate": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"remaining_minutes": {
"type": "number"
},
"status": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"budget_minutes",
"burn_rate",
"computation_basis",
"interpretation",
"next_step",
"next_step_url",
"remaining_minutes",
"status",
"why_follow_up"
],
"additionalProperties": false
}🟢slo-burn-rate-calculator(errors, total, slo, window_hours)
Use this when a user asks how fast they are burning their error budget, or whether their current error rate will exhaust their SLO window. Takes error count, total requests, SLO target, and observation window. Returns burn rate and budget consumption per hour.
Esquema de entrada
{
"type": "object",
"properties": {
"errors": {
"type": "number",
"minimum": 0,
"description": "Number of failed requests observed in the measurement window.",
"examples": [
1
]
},
"total": {
"type": "number",
"minimum": 1,
"description": "Total number of requests observed in the measurement window.",
"examples": [
1
]
},
"slo": {
"type": "number",
"minimum": 0,
"maximum": 99.9999,
"description": "Service-level objective target expressed as a percentage.",
"examples": [
1
]
},
"window_hours": {
"type": "number",
"minimum": 1,
"description": "Length of the observed measurement window in hours.",
"examples": [
1
]
}
},
"required": [
"errors",
"total",
"slo",
"window_hours"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"budget_consumed_pct_per_hour": {
"type": "number"
},
"burn_rate": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"error_rate_pct": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"status": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"window_hours": {
"type": "number"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"budget_consumed_pct_per_hour",
"burn_rate",
"computation_basis",
"error_rate_pct",
"interpretation",
"next_step",
"next_step_url",
"status",
"why_follow_up",
"window_hours"
],
"additionalProperties": false
}🟢incident-cost-calculator(hourly_revenue, downtime_hours, affected_pct, responders, eng_hourly)
Use this when a user asks what an outage or incident cost, or wants to calculate the financial impact of downtime. Takes hourly revenue, downtime duration, and affected percentage. Returns revenue impact, engineering cost, and total incident cost in dollars.
Esquema de entrada
{
"type": "object",
"properties": {
"hourly_revenue": {
"type": "number",
"description": "hourly revenue used by the calculation; monetary values are in USD unless stated otherwise.",
"examples": [
1
]
},
"downtime_hours": {
"type": "number",
"description": "downtime in hours.",
"examples": [
1
]
},
"affected_pct": {
"type": "number",
"description": "affected expressed as a percentage.",
"examples": [
1
]
},
"responders": {
"type": "number",
"description": "responders used by this deterministic tool.",
"examples": [
1
]
},
"eng_hourly": {
"type": "number",
"description": "eng hourly used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"hourly_revenue",
"downtime_hours"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"engineering_cost_usd": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"revenue_impact_usd": {
"type": "number"
},
"severity": {
"type": "string"
},
"total_cost_usd": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"engineering_cost_usd",
"interpretation",
"next_step",
"next_step_url",
"revenue_impact_usd",
"severity",
"total_cost_usd",
"why_follow_up"
],
"additionalProperties": false
}🟢reserved-instance-breakeven(od_monthly, ri_1yr_monthly, ri_3yr_monthly, ri_1yr_upfront, ri_3yr_upfront)
Use this when a user asks whether to buy Reserved Instances or stay on On-Demand, or how long until an RI pays for itself. Takes On-Demand and RI monthly costs plus upfront fee. Returns break-even month and net savings over 1yr and 3yr terms.
Esquema de entrada
{
"type": "object",
"properties": {
"od_monthly": {
"type": "number",
"description": "od monthly used by this deterministic tool.",
"examples": [
1
]
},
"ri_1yr_monthly": {
"type": "number",
"description": "ri 1yr monthly used by this deterministic tool.",
"examples": [
1
]
},
"ri_3yr_monthly": {
"type": "number",
"description": "ri 3yr monthly used by this deterministic tool.",
"examples": [
1
]
},
"ri_1yr_upfront": {
"type": "number",
"description": "ri 1yr upfront used by this deterministic tool.",
"examples": [
1
]
},
"ri_3yr_upfront": {
"type": "number",
"description": "ri 3yr upfront used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"od_monthly",
"ri_1yr_monthly",
"ri_3yr_monthly"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"breakeven_months": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"net_savings_1yr_usd": {
"type": "number"
},
"net_savings_3yr_usd": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"recommended_term": {
"type": "string"
},
"severity": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"interpretation",
"net_savings_1yr_usd",
"net_savings_3yr_usd",
"next_step",
"next_step_url",
"recommended_term",
"severity",
"why_follow_up"
],
"additionalProperties": false
}🟢availability-sla-calculator(availability_pct)
Use this when a user asks what a specific availability percentage (like 99.9% or 99.99%) means in downtime minutes per month or year. Converts availability SLA percentage to exact downtime budgets: annual, monthly, weekly, and daily.
Esquema de entrada
{
"type": "object",
"properties": {
"availability_pct": {
"type": "number",
"description": "e.g. 99.9 for three nines",
"examples": [
1
]
}
},
"required": [
"availability_pct"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_downtime_minutes": {
"type": "number"
},
"availability_tier": {
"type": "string"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"monthly_downtime_minutes": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"weekly_downtime_minutes": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_downtime_minutes",
"availability_tier",
"computation_basis",
"interpretation",
"monthly_downtime_minutes",
"next_step",
"next_step_url",
"weekly_downtime_minutes",
"why_follow_up"
],
"additionalProperties": false
}🟢apdex-score-calculator(satisfied, tolerating, total)
Use this when a user asks about their Apdex score or wants to measure user satisfaction with response times. Takes satisfied, tolerating, and total request counts. Returns Apdex score (0–1) and performance rating.
Esquema de entrada
{
"type": "object",
"properties": {
"satisfied": {
"type": "number",
"minimum": 0,
"description": "satisfied used by this deterministic tool.",
"examples": [
1
]
},
"tolerating": {
"type": "number",
"minimum": 0,
"description": "tolerating used by this deterministic tool.",
"examples": [
1
]
},
"total": {
"type": "number",
"minimum": 1,
"description": "Total number of requests observed in the measurement window.",
"examples": [
1
]
}
},
"required": [
"satisfied",
"tolerating",
"total"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"apdex_score": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"rating": {
"type": "string"
},
"satisfied_pct": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"apdex_score",
"computation_basis",
"interpretation",
"next_step",
"next_step_url",
"rating",
"satisfied_pct",
"why_follow_up"
],
"additionalProperties": false
}🟢dora-metrics-calculator(deploys_per_month, lead_time_hours, change_failure_pct, restore_time_hours)
Use this when a user wants to benchmark their engineering team against DORA metrics, or classify their deployment frequency and lead time. Takes deploy frequency, lead time hours, change failure rate, and restore time. Returns Elite/High/Medium/Low tier classification per metric.
Esquema de entrada
{
"type": "object",
"properties": {
"deploys_per_month": {
"type": "number",
"description": "deploys per month used by this deterministic tool.",
"examples": [
1
]
},
"lead_time_hours": {
"type": "number",
"description": "lead time in hours.",
"examples": [
1
]
},
"change_failure_pct": {
"type": "number",
"description": "change failure expressed as a percentage.",
"examples": [
1
]
},
"restore_time_hours": {
"type": "number",
"description": "restore time in hours.",
"examples": [
1
]
}
},
"required": [
"deploys_per_month",
"lead_time_hours",
"change_failure_pct"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"change_failure_rate_tier": {
"type": "string"
},
"computation_basis": {
"type": "string"
},
"deploy_frequency_tier": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"lead_time_tier": {
"type": "string"
},
"mttr_tier": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"overall_tier": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"change_failure_rate_tier",
"computation_basis",
"deploy_frequency_tier",
"interpretation",
"lead_time_tier",
"mttr_tier",
"next_step",
"next_step_url",
"overall_tier",
"why_follow_up"
],
"additionalProperties": false
}🟢pipeline-cost-calculator(avg_job_min, jobs_per_run, runs_per_month, runner)
Use this when a user asks how much their GitHub Actions CI/CD pipeline costs per month, or wants to compare runner costs. Takes average job duration, jobs per run, monthly run count, and runner type. Returns monthly billing cost with runner multiplier breakdown.
Esquema de entrada
{
"type": "object",
"properties": {
"avg_job_min": {
"type": "number",
"description": "avg job min used by this deterministic tool.",
"examples": [
1
]
},
"jobs_per_run": {
"type": "number",
"description": "jobs per run used by this deterministic tool.",
"examples": [
1
]
},
"runs_per_month": {
"type": "number",
"description": "runs per month used by this deterministic tool.",
"examples": [
1
]
},
"runner": {
"type": "string",
"description": "runner used by this deterministic tool.",
"examples": [
"example"
]
}
},
"required": [
"avg_job_min",
"jobs_per_run",
"runs_per_month"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"billable_minutes": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"monthly_cost_usd": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"runner_multiplier": {
"type": "number"
},
"severity": {
"type": "string"
},
"total_minutes_per_month": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"billable_minutes",
"computation_basis",
"interpretation",
"monthly_cost_usd",
"next_step",
"next_step_url",
"runner_multiplier",
"severity",
"total_minutes_per_month",
"why_follow_up"
],
"additionalProperties": false
}🟢connection-pool-calculator(max_connections, app_servers, db_cores, avg_query_ms, peak_rps)
Use this when a user asks how many database connections to configure. Uses the same max_connections, app server count, database cores, average query duration, and peak RPS model as the browser calculator.
Esquema de entrada
{
"type": "object",
"properties": {
"max_connections": {
"type": "number",
"minimum": 1,
"description": "max connections used by this deterministic tool.",
"examples": [
1
]
},
"app_servers": {
"type": "number",
"minimum": 1,
"description": "app servers used by this deterministic tool.",
"examples": [
1
]
},
"db_cores": {
"type": "number",
"minimum": 1,
"description": "db cores used by this deterministic tool.",
"examples": [
1
]
},
"avg_query_ms": {
"type": "number",
"minimum": 0,
"description": "avg query ms used by this deterministic tool.",
"examples": [
1
]
},
"peak_rps": {
"type": "number",
"minimum": 0,
"description": "peak rps used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"max_connections",
"app_servers",
"db_cores",
"avg_query_ms",
"peak_rps"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"estimated_connection_memory_mb": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"peak_concurrent_demand": {
"type": "number"
},
"per_app_pool_size": {
"type": "number"
},
"recommended_pool_total": {
"type": "number"
},
"saturation_pct": {
"type": "number"
},
"status": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"estimated_connection_memory_mb",
"interpretation",
"next_step",
"next_step_url",
"peak_concurrent_demand",
"per_app_pool_size",
"recommended_pool_total",
"saturation_pct",
"status",
"why_follow_up"
],
"additionalProperties": false
}🟢cluster-capacity-calculator(node_vcpu, node_mem_gb, node_count, system_reserve_pct, target_utilization_pct)
Use this when a user asks for Kubernetes cluster capacity. Uses the same node vCPU, node memory, node count, system reserve, and target utilization model as the browser calculator.
Esquema de entrada
{
"type": "object",
"properties": {
"node_vcpu": {
"type": "number",
"minimum": 0.001,
"description": "node vcpu used by this deterministic tool.",
"examples": [
0.001
]
},
"node_mem_gb": {
"type": "number",
"minimum": 0.001,
"description": "node mem in gigabytes.",
"examples": [
0.001
]
},
"node_count": {
"type": "number",
"minimum": 1,
"description": "node count used by this deterministic tool.",
"examples": [
1
]
},
"system_reserve_pct": {
"type": "number",
"minimum": 0,
"maximum": 99.999,
"description": "system reserve expressed as a percentage.",
"examples": [
1
]
},
"target_utilization_pct": {
"type": "number",
"minimum": 0.001,
"maximum": 100,
"description": "target utilization expressed as a percentage.",
"examples": [
0.001
]
}
},
"required": [
"node_vcpu",
"node_mem_gb",
"node_count"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"allocatable_factor": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"node_count": {
"type": "number"
},
"output_tier": {
"type": "string"
},
"raw_memory_gb": {
"type": "number"
},
"raw_vcpu": {
"type": "number"
},
"remaining_pct": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"usable_memory_gb": {
"type": "number"
},
"usable_vcpu": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"allocatable_factor",
"computation_basis",
"interpretation",
"next_step",
"next_step_url",
"node_count",
"output_tier",
"raw_memory_gb",
"raw_vcpu",
"remaining_pct",
"signal_value",
"usable_memory_gb",
"usable_vcpu",
"why_follow_up"
],
"additionalProperties": false
}🟢precision-recall-f1-calculator(precision, recall, beta)
Use this when a user asks about their ML model precision, recall, F1 score, or F-beta score. Takes precision, recall, and optional beta weight. Returns F1, F-beta, and interpretation of the precision-recall tradeoff.
Esquema de entrada
{
"type": "object",
"properties": {
"precision": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "precision used by this deterministic tool.",
"examples": [
1
]
},
"recall": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "recall used by this deterministic tool.",
"examples": [
1
]
},
"beta": {
"type": "number",
"minimum": 0,
"description": "beta used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"precision",
"recall"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"f1_score": {
"type": "number"
},
"f_beta_score": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"precision_recall_balance": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"f1_score",
"f_beta_score",
"interpretation",
"next_step",
"next_step_url",
"precision_recall_balance",
"why_follow_up"
],
"additionalProperties": false
}🟢egress-cost-calculator(daily_requests, avg_response_kb, provider, cdn_pct)
Use this when a user asks about monthly internet egress cost from daily request volume, average response size, provider, and CDN offload. Uses the same model as the browser calculator.
Esquema de entrada
{
"type": "object",
"properties": {
"daily_requests": {
"type": "number",
"minimum": 0,
"description": "daily requests used by this deterministic tool.",
"examples": [
1
]
},
"avg_response_kb": {
"type": "number",
"minimum": 0,
"description": "avg response kb used by this deterministic tool.",
"examples": [
1
]
},
"provider": {
"type": "string",
"enum": [
"AWS",
"GCP",
"Azure",
"Cloudflare",
"DigitalOcean"
],
"description": "Cloud provider whose published pricing model should be applied.",
"examples": [
"AWS"
]
},
"cdn_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "cdn expressed as a percentage.",
"examples": [
1
]
}
},
"required": [
"daily_requests",
"avg_response_kb"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"billable_egress_gb": {
"type": "number"
},
"cdn_offload_gb": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"cost_risk": {
"type": "string"
},
"daily_egress_gb": {
"type": "number"
},
"free_tier_gb": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost_usd": {
"type": "number"
},
"monthly_egress_gb": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"origin_egress_gb": {
"type": "number"
},
"provider": {
"type": "string"
},
"rate_per_gb": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"billable_egress_gb",
"cdn_offload_gb",
"computation_basis",
"cost_risk",
"daily_egress_gb",
"free_tier_gb",
"interpretation",
"monthly_cost_usd",
"monthly_egress_gb",
"next_step",
"next_step_url",
"origin_egress_gb",
"provider",
"rate_per_gb",
"why_follow_up"
],
"additionalProperties": false
}🟢detect-secrets-scanner(text)
Scan text (config, code, env files) for leaked API keys, tokens, passwords, and private keys, plus static code-risk findings such as dynamic code execution, wildcard CORS, unsafe HTML sinks, process spawning and removed security guards. Returns findings with redacted matches and severity classification.
Esquema de entrada
{
"type": "object",
"properties": {
"text": {
"type": "string",
"maxLength": 200000,
"description": "Config, code, or env file content to scan. Do not submit live production secrets; rotate any real credential that appears here.",
"examples": [
"example"
]
}
},
"required": [
"text"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"code_risk_count": {
"type": "number"
},
"code_risk_findings": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"evidence_excerpt": {
"type": "string"
},
"severity": {
"type": "string",
"enum": [
"HIGH",
"MEDIUM",
"LOW"
]
}
},
"required": [
"code",
"evidence_excerpt",
"severity"
],
"additionalProperties": false
}
},
"computation_basis": {
"type": "string"
},
"finding_count": {
"type": "number"
},
"findings": {
"type": "array",
"items": {
"type": "object",
"properties": {
"line": {
"type": "number"
},
"redacted": {
"type": "string"
},
"type": {
"type": "string"
}
},
"required": [
"line",
"redacted",
"type"
],
"additionalProperties": false
}
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"severity": {
"type": "string"
},
"types_found": {
"type": "array",
"items": {
"type": "string"
}
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"code_risk_count",
"code_risk_findings",
"computation_basis",
"finding_count",
"findings",
"interpretation",
"next_step",
"next_step_url",
"severity",
"types_found",
"why_follow_up"
],
"additionalProperties": false
}🟢known-vulnerability-checker(package_name)
Check a package name against a database of known CVEs. Returns vulnerability status, CVE ID, and severity for common packages (log4j, lodash, moment, axios, django, flask, pillow, etc.).
Esquema de entrada
{
"type": "object",
"properties": {
"package_name": {
"type": "string",
"maxLength": 256,
"description": "Package name to check (e.g. \"lodash\", \"log4j\", \"django\")",
"examples": [
"lodash"
]
}
},
"required": [
"package_name"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"checked_against": {
"type": "string"
},
"computation_basis": {
"type": "string"
},
"cve": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"package_name": {
"type": "string"
},
"severity": {
"type": "string"
},
"status": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"checked_against",
"computation_basis",
"interpretation",
"next_step",
"next_step_url",
"package_name",
"severity",
"status",
"why_follow_up"
],
"additionalProperties": false
}🟢certificate-expiry-checker(domain, days_remaining)
Assess certificate expiry risk given a domain and days remaining. Returns risk level (OK, WARNING at <30 days, CRITICAL at <7 days, EXPIRED at <0).
Esquema de entrada
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"maxLength": 253,
"description": "Domain name (e.g. \"api.example.com\")",
"examples": [
"example.com"
]
},
"days_remaining": {
"type": "number",
"description": "Days until certificate expires",
"examples": [
1
]
}
},
"required": [
"domain",
"days_remaining"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"days_remaining": {
"type": "number"
},
"domain": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"risk_level": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"days_remaining",
"domain",
"interpretation",
"next_step",
"next_step_url",
"risk_level",
"why_follow_up"
],
"additionalProperties": false
}🟢kubernetes-manifest-linter(manifest)
Lint a Kubernetes manifest (YAML) for common issues: missing resource limits, missing health checks, :latest tag usage, privileged containers. Returns issue list and severity.
Esquema de entrada
{
"type": "object",
"properties": {
"manifest": {
"type": "string",
"maxLength": 200000,
"description": "Kubernetes manifest YAML content",
"examples": [
"example"
]
}
},
"required": [
"manifest"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"issue_count": {
"type": "number"
},
"issues": {
"type": "array",
"items": {
"type": "object",
"properties": {
"issue": {
"type": "string"
},
"recommendation": {
"type": "string"
},
"severity": {
"type": "string"
}
},
"required": [
"issue",
"recommendation",
"severity"
],
"additionalProperties": false
}
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"severity": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"interpretation",
"issue_count",
"issues",
"next_step",
"next_step_url",
"severity",
"why_follow_up"
],
"additionalProperties": false
}🟢dockerfile-linter(dockerfile)
Lint a Dockerfile for common issues: :latest tag on FROM, interactive installs without -y, running as root. Returns issues with suggestions per instruction.
Esquema de entrada
{
"type": "object",
"properties": {
"dockerfile": {
"type": "string",
"maxLength": 200000,
"description": "Dockerfile content (full or partial)",
"examples": [
"example"
]
}
},
"required": [
"dockerfile"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"issue_count": {
"type": "number"
},
"issues": {
"type": "array",
"items": {
"type": "object",
"properties": {
"issue": {
"type": "string"
},
"line": {
"type": "number"
},
"suggestion": {
"type": "string"
}
},
"required": [
"issue",
"line",
"suggestion"
],
"additionalProperties": false
}
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"severity": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"interpretation",
"issue_count",
"issues",
"next_step",
"next_step_url",
"severity",
"why_follow_up"
],
"additionalProperties": false
}🟢query-cost-estimator(table_rows, table_pages, selectivity_pct, storage_type)
Estimate PostgreSQL sequential-scan and index-scan cost from table rows, table pages, selectivity, and storage type. Uses the same four-input model as the browser calculator.
Esquema de entrada
{
"type": "object",
"properties": {
"table_rows": {
"type": "number",
"minimum": 1,
"description": "table rows used by this deterministic tool.",
"examples": [
1
]
},
"table_pages": {
"type": "number",
"minimum": 1,
"description": "table pages used by this deterministic tool.",
"examples": [
1
]
},
"selectivity_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "selectivity expressed as a percentage.",
"examples": [
1
]
},
"storage_type": {
"type": "string",
"enum": [
"ssd",
"nvme",
"hdd",
"network"
],
"description": "storage type; accepted values: ssd, nvme, hdd, network.",
"examples": [
"ssd"
]
}
},
"required": [
"table_rows",
"table_pages",
"selectivity_pct",
"storage_type"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"cost_ratio": {
"type": "number"
},
"index_pages": {
"type": "number"
},
"index_scan_cost": {
"type": "number"
},
"index_tuples": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"random_page_cost": {
"type": "number"
},
"recommended_plan": {
"type": "string"
},
"sequential_scan_cost": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"cost_ratio",
"index_pages",
"index_scan_cost",
"index_tuples",
"interpretation",
"next_step",
"next_step_url",
"random_page_cost",
"recommended_plan",
"sequential_scan_cost",
"why_follow_up"
],
"additionalProperties": false
}🟢canonical-url-auditor(page_url, canonical)
Audit a page URL against its canonical tag. Detects missing canonical, self-referencing canonical, and relative URL issues.
Esquema de entrada
{
"type": "object",
"properties": {
"page_url": {
"type": "string",
"maxLength": 2048,
"description": "The page URL being audited",
"examples": [
"https://example.com/"
]
},
"canonical": {
"type": "string",
"maxLength": 2048,
"description": "The canonical URL found in the page (empty string if missing)",
"examples": [
"example"
]
}
},
"required": [
"page_url",
"canonical"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"canonical_found": {
"type": "string"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"issue": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"page_url": {
"type": "string"
},
"recommendation": {
"type": "string"
},
"severity": {
"type": "string"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"interpretation",
"issue",
"next_step",
"next_step_url",
"page_url",
"recommendation",
"severity",
"why_follow_up"
],
"additionalProperties": false
}🟢rate-limit-utilization-calculator(current_requests, limit, window_seconds)
Calculate API rate limit utilization given current request count and limit. Returns utilization percentage, buffer, safety status, and risk level (OK at <80%, WARNING at 80-95%, CRITICAL at >95%).
Esquema de entrada
{
"type": "object",
"properties": {
"current_requests": {
"type": "number",
"minimum": 0,
"description": "Current request count in the window",
"examples": [
1
]
},
"limit": {
"type": "number",
"minimum": 1,
"description": "Rate limit ceiling",
"examples": [
1
]
},
"window_seconds": {
"type": "number",
"minimum": 1,
"description": "Rate limit window in seconds (e.g. 60 for per-minute)",
"examples": [
1
]
}
},
"required": [
"current_requests",
"limit"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"buffer": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"safe": {
"type": "boolean"
},
"status": {
"type": "string"
},
"utilization_pct": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"window_seconds": {
"type": "number"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"buffer",
"computation_basis",
"interpretation",
"next_step",
"next_step_url",
"safe",
"status",
"utilization_pct",
"why_follow_up",
"window_seconds"
],
"additionalProperties": false
}🟢alert-fatigue-calculator(alerts_per_week, actionable_pct, engineer_count, avg_resolution_min)
Use when a user asks about alert noise, alert fatigue, or on-call burden from non-actionable alerts. Given weekly alert volume, actionable %, engineer count, and avg resolution time, returns noise rate, wasted hours, and fatigue tier.
Esquema de entrada
{
"type": "object",
"properties": {
"alerts_per_week": {
"type": "number",
"minimum": 0,
"description": "alerts per week used by this deterministic tool.",
"examples": [
1
]
},
"actionable_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "actionable expressed as a percentage.",
"examples": [
1
]
},
"engineer_count": {
"type": "number",
"minimum": 1,
"description": "engineer count used by this deterministic tool.",
"examples": [
1
]
},
"avg_resolution_min": {
"type": "number",
"minimum": 0,
"description": "avg resolution min used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"alerts_per_week",
"actionable_pct",
"engineer_count",
"avg_resolution_min"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_wasted_hours": {
"type": "number"
},
"burden_per_engineer_hours": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"fatigue_index": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"noise_alerts_per_week": {
"type": "number"
},
"noise_rate_pct": {
"type": "number"
},
"output_tier": {
"type": "string"
},
"remaining_pct": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"wasted_hours_per_week": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_wasted_hours",
"burden_per_engineer_hours",
"computation_basis",
"fatigue_index",
"interpretation",
"next_step",
"next_step_url",
"noise_alerts_per_week",
"noise_rate_pct",
"output_tier",
"remaining_pct",
"signal_value",
"wasted_hours_per_week",
"why_follow_up"
],
"additionalProperties": false
}🟢change-failure-rate-calculator(total_deploys, failed_deploys)
Use when a user asks about change failure rate or DORA CFR. Given total and failed deployments, returns failure rate percentage and DORA tier.
Esquema de entrada
{
"type": "object",
"properties": {
"total_deploys": {
"type": "number",
"minimum": 1,
"description": "total deploys used by this deterministic tool.",
"examples": [
1
]
},
"failed_deploys": {
"type": "number",
"minimum": 0,
"description": "failed deploys used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"total_deploys",
"failed_deploys"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"change_failure_rate_pct": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"dora_rating": {
"type": "string"
},
"failed_count": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"remaining_pct": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"total_count": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"change_failure_rate_pct",
"computation_basis",
"dora_rating",
"failed_count",
"interpretation",
"next_step",
"next_step_url",
"output_tier",
"remaining_pct",
"signal_value",
"total_count",
"why_follow_up"
],
"additionalProperties": false
}🟢cloud-waste-calculator(monthly_cloud_bill, idle_pct, oversized_pct, unattached_volumes_count)
Use when a user asks about cloud waste, idle resources, or unattached storage. Given monthly cloud bill and idle/oversized percentages, returns waste estimate and tier.
Esquema de entrada
{
"type": "object",
"properties": {
"monthly_cloud_bill": {
"type": "number",
"minimum": 0,
"description": "monthly cloud bill used by this deterministic tool.",
"examples": [
1
]
},
"idle_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "idle expressed as a percentage.",
"examples": [
1
]
},
"oversized_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "oversized expressed as a percentage.",
"examples": [
1
]
},
"unattached_volumes_count": {
"type": "number",
"minimum": 0,
"description": "unattached volumes count used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"monthly_cloud_bill"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annualized": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"do_savings": {
"type": "number"
},
"idle_waste": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"oversized_waste": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"unattached_cost": {
"type": "number"
},
"waste_pct": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annualized",
"computation_basis",
"do_savings",
"idle_waste",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"oversized_waste",
"signal_value",
"unattached_cost",
"waste_pct",
"why_follow_up"
],
"additionalProperties": false
}🟢deployment-frequency-calculator(deploys_per_month, team_size, working_days)
Use when a user asks about deployment frequency or DORA deploy cadence.
Esquema de entrada
{
"type": "object",
"properties": {
"deploys_per_month": {
"type": "number",
"minimum": 0,
"description": "deploys per month used by this deterministic tool.",
"examples": [
1
]
},
"team_size": {
"type": "number",
"minimum": 1,
"description": "team size used by this deterministic tool.",
"examples": [
1
]
},
"working_days": {
"type": "number",
"minimum": 1,
"description": "working days used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"deploys_per_month",
"team_size"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"deploys_per_day": {
"type": "number"
},
"deploys_per_dev_per_day": {
"type": "number"
},
"deploys_per_week": {
"type": "number"
},
"dora_rating": {
"type": "string"
},
"interpretation": {
"type": "string"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"remaining_pct": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"deploys_per_day",
"deploys_per_dev_per_day",
"deploys_per_week",
"dora_rating",
"interpretation",
"next_step",
"next_step_url",
"output_tier",
"remaining_pct",
"signal_value",
"why_follow_up"
],
"additionalProperties": false
}🟢ec2-cost-calculator(instance_type, hours_per_month, os)
Use when a user asks about EC2 cost. Given instance type and hours, returns monthly cost and DO-equivalent savings estimate.
Esquema de entrada
{
"type": "object",
"properties": {
"instance_type": {
"type": "string",
"examples": [
"t3.medium"
],
"description": "instance type used by this deterministic tool."
},
"hours_per_month": {
"type": "number",
"minimum": 0,
"examples": [
730
],
"description": "hours per month used by this deterministic tool."
},
"os": {
"type": "string",
"examples": [
"Linux"
],
"description": "os used by this deterministic tool."
}
},
"required": [
"instance_type"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_cost": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"do_equivalent_monthly": {
"type": "number"
},
"do_savings": {
"type": "number"
},
"hourly_rate": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_cost",
"computation_basis",
"do_equivalent_monthly",
"do_savings",
"hourly_rate",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"signal_value",
"why_follow_up"
],
"additionalProperties": false
}🟢mttr-calculator(incidents)
Use when a user asks about MTTR or DORA recovery time. Takes incident timestamps (string lines "start,detected,resolved" or array of {start,detected,resolved}).
Esquema de entrada
{
"type": "object",
"properties": {
"incidents": {
"examples": [
"2026-04-01T10:00,2026-04-01T10:05,2026-04-01T10:30"
],
"description": "incidents used by this deterministic tool."
}
},
"required": [
"incidents"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"dora_rating": {
"type": "string"
},
"incident_count": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"mean_total_minutes": {
"type": "number"
},
"mttd_minutes": {
"type": "number"
},
"mttr_minutes": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"remaining_pct": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"dora_rating",
"incident_count",
"interpretation",
"mean_total_minutes",
"mttd_minutes",
"mttr_minutes",
"next_step",
"next_step_url",
"output_tier",
"remaining_pct",
"signal_value",
"why_follow_up"
],
"additionalProperties": false
}🟢on-call-burden-calculator(team_size, rotation_weeks, hourly_rate)
Use when a user asks about on-call load or burnout risk. Uses team size, rotation length, and hourly rate exactly as the browser calculator does.
Esquema de entrada
{
"type": "object",
"properties": {
"team_size": {
"type": "number",
"minimum": 1,
"description": "team size used by this deterministic tool.",
"examples": [
1
]
},
"rotation_weeks": {
"type": "number",
"exclusiveMinimum": 0,
"description": "rotation weeks used by this deterministic tool.",
"examples": [
1
]
},
"hourly_rate": {
"type": "number",
"minimum": 0,
"description": "hourly rate used by the calculation; monetary values are in USD unless stated otherwise.",
"examples": [
1
]
}
},
"required": [
"team_size",
"rotation_weeks",
"hourly_rate"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_cost": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"hours_per_engineer": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"pct_working_time": {
"type": "number"
},
"remaining_pct": {
"type": "number"
},
"shifts_per_engineer": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"total_hours_per_month": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_cost",
"computation_basis",
"hours_per_engineer",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"pct_working_time",
"remaining_pct",
"shifts_per_engineer",
"signal_value",
"total_hours_per_month",
"why_follow_up"
],
"additionalProperties": false
}🟢rightsizing-calculator(current_vcpu, p99_cpu_pct, current_memory_gb, p99_memory_pct, instance_count, ...)
Use when a user asks about instance rightsizing or overprovisioned compute.
Esquema de entrada
{
"type": "object",
"properties": {
"current_vcpu": {
"type": "number",
"exclusiveMinimum": 0,
"description": "current vcpu used by this deterministic tool.",
"examples": [
1
]
},
"p99_cpu_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "p99 cpu expressed as a percentage.",
"examples": [
1
]
},
"current_memory_gb": {
"type": "number",
"exclusiveMinimum": 0,
"description": "current memory in gigabytes.",
"examples": [
1
]
},
"p99_memory_pct": {
"type": "number",
"minimum": 0,
"maximum": 100,
"description": "p99 memory expressed as a percentage.",
"examples": [
1
]
},
"instance_count": {
"type": "number",
"minimum": 1,
"description": "instance count used by this deterministic tool.",
"examples": [
1
]
},
"hourly_cost": {
"type": "number",
"minimum": 0,
"description": "hourly cost used by the calculation; monetary values are in USD unless stated otherwise.",
"examples": [
1
]
}
},
"required": [
"current_vcpu",
"p99_cpu_pct",
"current_memory_gb",
"p99_memory_pct"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_savings": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"do_savings": {
"type": "number"
},
"instance_count": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"needed_memory_gb": {
"type": "number"
},
"needed_vcpu": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"savings_factor": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_savings",
"computation_basis",
"do_savings",
"instance_count",
"interpretation",
"monthly_cost",
"needed_memory_gb",
"needed_vcpu",
"next_step",
"next_step_url",
"output_tier",
"savings_factor",
"signal_value",
"why_follow_up"
],
"additionalProperties": false
}🟢software-purchase-risk-calculator(monthlySubscription, contractLengthMonths, numUsers, internalHourlyCost, setupHours, ...)
Use when a user asks about risk of a software purchase or SaaS commitment.
Esquema de entrada
{
"type": "object",
"properties": {
"monthlySubscription": {
"type": "number",
"minimum": 0,
"description": "monthlySubscription used by this deterministic tool.",
"examples": [
1
]
},
"contractLengthMonths": {
"type": "number",
"minimum": 1,
"description": "contractLengthMonths used by this deterministic tool.",
"examples": [
1
]
},
"numUsers": {
"type": "number",
"minimum": 1,
"description": "numUsers used by this deterministic tool.",
"examples": [
1
]
},
"internalHourlyCost": {
"type": "number",
"minimum": 0,
"description": "internalHourlyCost used by this deterministic tool.",
"examples": [
1
]
},
"setupHours": {
"type": "number",
"minimum": 0,
"description": "setupHours used by this deterministic tool.",
"examples": [
1
]
},
"integrationCount": {
"type": "number",
"minimum": 0,
"description": "integrationCount used by this deterministic tool.",
"examples": [
1
]
},
"changeManagementRisk": {
"type": "number",
"minimum": 1,
"maximum": 5,
"description": "changeManagementRisk used by this deterministic tool.",
"examples": [
1
]
},
"vendorStabilityScore": {
"type": "number",
"minimum": 1,
"maximum": 5,
"description": "vendorStabilityScore used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"monthlySubscription"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"adoption_component": {
"type": "number"
},
"complexity_component": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"contract_months": {
"type": "number"
},
"contract_total": {
"type": "number"
},
"integration_component": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"risk_score": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"vendor_component": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"year1_labor_cost": {
"type": "number"
},
"year1_sub_cost": {
"type": "number"
},
"year1_total_cost": {
"type": "number"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"adoption_component",
"complexity_component",
"computation_basis",
"contract_months",
"contract_total",
"integration_component",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"risk_score",
"signal_value",
"vendor_component",
"why_follow_up",
"year1_labor_cost",
"year1_sub_cost",
"year1_total_cost"
],
"additionalProperties": false
}🟢terraform-plan-cost-estimator(resource_type, count, instance_size)
Use when a user asks to estimate monthly cost of a Terraform plan.
Esquema de entrada
{
"type": "object",
"properties": {
"resource_type": {
"type": "string",
"description": "resource type used by this deterministic tool.",
"examples": [
"example"
]
},
"count": {
"type": "number",
"minimum": 1,
"description": "count used by this deterministic tool.",
"examples": [
1
]
},
"instance_size": {
"type": "string",
"description": "instance size used by this deterministic tool.",
"examples": [
"example"
]
}
},
"required": [
"resource_type",
"count"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"annual_cost": {
"type": "number"
},
"computation_basis": {
"type": "string"
},
"hourly_rate": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"resource_count": {
"type": "number"
},
"resource_type": {
"type": "string"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"annual_cost",
"computation_basis",
"hourly_rate",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"resource_count",
"resource_type",
"signal_value",
"why_follow_up"
],
"additionalProperties": false
}🟢total-cost-of-ownership-calculator(baseMonthlySubscription, perUserMonthlyFee, numPaidSeats, expectedActiveUsers, oneTimeFees, ...)
Use when a user asks about TCO or multi-year SaaS cost.
Esquema de entrada
{
"type": "object",
"properties": {
"baseMonthlySubscription": {
"type": "number",
"minimum": 0,
"description": "baseMonthlySubscription used by this deterministic tool.",
"examples": [
1
]
},
"perUserMonthlyFee": {
"type": "number",
"minimum": 0,
"description": "perUserMonthlyFee used by this deterministic tool.",
"examples": [
1
]
},
"numPaidSeats": {
"type": "number",
"minimum": 1,
"description": "numPaidSeats used by this deterministic tool.",
"examples": [
1
]
},
"expectedActiveUsers": {
"type": "number",
"minimum": 1,
"description": "expectedActiveUsers used by this deterministic tool.",
"examples": [
1
]
},
"oneTimeFees": {
"type": "number",
"minimum": 0,
"description": "oneTimeFees used by this deterministic tool.",
"examples": [
1
]
},
"contractLength": {
"type": "number",
"minimum": 1,
"description": "contractLength used by this deterministic tool.",
"examples": [
1
]
},
"internalHourlyCost105": {
"type": "number",
"minimum": 0,
"description": "internalHourlyCost105 used by this deterministic tool.",
"examples": [
1
]
},
"adminHoursPerMonth": {
"type": "number",
"minimum": 0,
"description": "adminHoursPerMonth used by this deterministic tool.",
"examples": [
1
]
}
},
"required": [
"numPaidSeats",
"expectedActiveUsers"
],
"additionalProperties": false
}Esquema de salida
{
"type": "object",
"properties": {
"computation_basis": {
"type": "string"
},
"contract_months": {
"type": "number"
},
"contract_total": {
"type": "number"
},
"cost_per_user_monthly": {
"type": "number"
},
"do_savings": {
"type": "number"
},
"interpretation": {
"type": "string"
},
"monthly_cost": {
"type": "number"
},
"next_step": {
"type": "string"
},
"next_step_url": {
"type": "string"
},
"output_tier": {
"type": "string"
},
"overpaying_flags": {
"type": "number"
},
"seat_waste_cost_yr": {
"type": "number"
},
"seat_waste_pct": {
"type": "number"
},
"shelfware_seats": {
"type": "number"
},
"signal_value": {
"type": "number"
},
"why_follow_up": {
"type": "string"
},
"year1_admin_cost": {
"type": "number"
},
"year1_total_cost": {
"type": "number"
},
"year1_vendor_cost": {
"type": "number"
},
"affiliate_context": {
"type": "object",
"properties": {
"affiliate": {
"type": "string"
},
"cta_label": {
"type": "string"
},
"disclosure": {
"type": "string"
},
"framing": {
"type": "string"
},
"posture": {
"type": "string",
"enum": [
"secondary"
]
},
"slot_id": {
"type": "string"
},
"url": {
"type": "string"
},
"variant": {
"type": "string"
}
},
"required": [
"affiliate",
"cta_label",
"disclosure",
"framing",
"posture",
"slot_id",
"url",
"variant"
],
"additionalProperties": false
}
},
"required": [
"computation_basis",
"contract_months",
"contract_total",
"cost_per_user_monthly",
"do_savings",
"interpretation",
"monthly_cost",
"next_step",
"next_step_url",
"output_tier",
"overpaying_flags",
"seat_waste_cost_yr",
"seat_waste_pct",
"shelfware_seats",
"signal_value",
"why_follow_up",
"year1_admin_cost",
"year1_total_cost",
"year1_vendor_cost"
],
"additionalProperties": false
}Comunidad
Evidencia
Observaciones recientes
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