Utility Matrix
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
Should I use this
Quality & Safety
B
Findings (46)
- LOWTool 'reserved-instance-breakeven' description lacks action verbin reserved-instance-breakeven
- LOWTool 'dora-metrics-calculator' description lacks action verbin dora-metrics-calculator
- LOWTool 'query-cost-estimator' description lacks action verbin query-cost-estimator
- LOWTool 'change-failure-rate-calculator' description lacks action verbin change-failure-rate-calculator
- LOWTool 'cloud-waste-calculator' description lacks action verbin cloud-waste-calculator
- LOWTool 'deployment-frequency-calculator' description lacks action verbin deployment-frequency-calculator
- LOWTool 'ec2-cost-calculator' description lacks action verbin ec2-cost-calculator
- LOWTool 'software-purchase-risk-calculator' description lacks action verbin software-purchase-risk-calculator
- LOWTool 'terraform-plan-cost-estimator' description lacks action verbin terraform-plan-cost-estimator
- LOWTool 'total-cost-of-ownership-calculator' description lacks action verbin total-cost-of-ownership-calculator
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~14,014Tokens (tool definitions)
~4.8 KBTypical response size
Significant attention impact (10.95% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"utility-matrix": {
"url": "https://utility-matrix.com/mcp"
}
}
}Remote endpoints
https://utility-matrix.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (31)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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).
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"type": "object",
"properties": {
"availability_pct": {
"type": "number",
"description": "e.g. 99.9 for three nines",
"examples": [
1
]
}
},
"required": [
"availability_pct"
],
"additionalProperties": false
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.).
Input Schema
{
"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
}Output Schema
{
"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).
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"type": "object",
"properties": {
"manifest": {
"type": "string",
"maxLength": 200000,
"description": "Kubernetes manifest YAML content",
"examples": [
"example"
]
}
},
"required": [
"manifest"
],
"additionalProperties": false
}Output Schema
{
"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.
Input Schema
{
"type": "object",
"properties": {
"dockerfile": {
"type": "string",
"maxLength": 200000,
"description": "Dockerfile content (full or partial)",
"examples": [
"example"
]
}
},
"required": [
"dockerfile"
],
"additionalProperties": false
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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%).
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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}).
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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.
Input Schema
{
"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
}Output Schema
{
"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
}Community
Evidence
Recent observations
verifiedversion not recorded31 tools
failed observationversion not recorded—