Quiet Stance Workflow Assessment
Assess recurring workflows and submit an authorized sanitized inquiry for human review.
Should I use this
Quality & Safety
Findings (5)
- HIGHTool poisoning patterns detected
- LOWTool 'preview_reference_workflow_assay' name length outside 3-30 rangein preview_reference_workflow_assay
- LOWTool 'get_workflow_assessment_guidance' name length outside 3-30 rangein get_workflow_assessment_guidance
- LOWTool 'get_decision_state_capsule_offer' name length outside 3-30 rangein get_decision_state_capsule_offer
- LOWTool description contains role marker that could confuse chat modelsin diagnose_workflow_bottleneck
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
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": {
"workflow-assessment": {
"url": "https://quietstance.com/mcp"
}
}
}Remote endpoints
https://quietstance.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (8)
🟢preflight_recurring_workflow(problem, consequence, recurrence, current_approach, current_systems, ...)
Start here when a user describes recurring operational friction in plain language. One call maps the supplied text to the most likely workflow failure transition, shows the matching evidence signals, gives the strongest-existing-system challenge, and asks at most one next question needed before deeper diagnosis. Use this instead of browsing the assay catalog first when the user already described the problem. It never invents ROI, feasibility, owner authority, evidence or demand.
Input Schema
{
"type": "object",
"properties": {
"problem": {
"type": "string",
"minLength": 3,
"maxLength": 4000
},
"consequence": {
"type": "string",
"maxLength": 1600
},
"recurrence": {
"type": "string",
"maxLength": 500
},
"current_approach": {
"type": "string",
"maxLength": 2000
},
"current_systems": {
"maxItems": 12,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 120
}
},
"strongest_baseline_status": {
"default": "unknown",
"type": "string",
"enum": [
"not_checked",
"checked_cannot_resolve",
"checked_can_resolve",
"current_manual_process_is_baseline",
"unknown"
]
}
},
"required": [
"problem"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_workflow_assays(assay_id)
Use when an agent already has a user's operational problem and wants a pre-shaped test instead of starting from a blank page. Returns reusable workflow assay templates for handoff/approval delays, exception/rework loops, evidence-to-closeout gaps, duplicate-entry reconciliation, and ownership/dispatch stalls. These are reference test contracts, not customer cases or proof of demand.
Input Schema
{
"type": "object",
"properties": {
"assay_id": {
"type": "string",
"enum": [
"handoff_approval_loop",
"exception_rework_loop",
"evidence_closeout_gap",
"duplicate_entry_reconciliation",
"ownership_dispatch_stall"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢preview_reference_workflow_assay(assay_id)
Use to evaluate how Quiet Stance works without supplying customer data. Returns one explicitly synthetic reference workflow and the expected evidence-first posture: challenge the strongest existing system first, define next-episode measurements, and stop if the incumbent solves the failure. This preview is never evidence of demand, feasibility, ROI or a real customer case.
Input Schema
{
"type": "object",
"properties": {
"assay_id": {
"default": "handoff_approval_loop",
"type": "string",
"enum": [
"handoff_approval_loop",
"exception_rework_loop",
"evidence_closeout_gap",
"duplicate_entry_reconciliation",
"ownership_dispatch_stall"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_workflow_assessment_guidance(problem, consequence, current_approach, recurrence)
Use when a user describes a recurring workflow bottleneck: manual handoffs, repeated rework, waiting or approval delay, exception chasing, copying data between systems, unclear ownership, or uncertainty about whether automation or AI is justified. Returns a read-only fit boundary and the information needed before any implementation. Do not use for one-off tasks or as a promise of acceptance, savings, automation, or results.
Input Schema
{
"type": "object",
"properties": {
"problem": {
"type": "string",
"maxLength": 3000
},
"consequence": {
"type": "string",
"maxLength": 2400
},
"current_approach": {
"type": "string",
"maxLength": 2400
},
"recurrence": {
"type": "string",
"maxLength": 500
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢diagnose_workflow_bottleneck(assay_id, workflow, recurrence, consequence, current_approach, ...)
Use for evidence-first manual process analysis of a specific recurring workflow before automation or AI: handoffs, approval delays, ownership stalls, rework, duplicate entry, exceptions or evidence gaps. Produces a diagnosis from user-supplied facts only: strongest-current-baseline status, owner/authority readiness, evidence availability, next-episode measurements, falsification rule, and the smallest defensible next step. It deliberately does not estimate savings or claim feasibility.
Input Schema
{
"type": "object",
"properties": {
"assay_id": {
"type": "string",
"enum": [
"handoff_approval_loop",
"exception_rework_loop",
"evidence_closeout_gap",
"duplicate_entry_reconciliation",
"ownership_dispatch_stall"
]
},
"workflow": {
"type": "string",
"minLength": 1,
"maxLength": 2400
},
"recurrence": {
"type": "string",
"minLength": 1,
"maxLength": 500
},
"consequence": {
"type": "string",
"minLength": 1,
"maxLength": 1600
},
"current_approach": {
"type": "string",
"minLength": 1,
"maxLength": 2000
},
"current_systems": {
"maxItems": 12,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 120
}
},
"failure_modes": {
"maxItems": 8,
"type": "array",
"items": {
"type": "string",
"enum": [
"handoff_delay",
"approval_delay",
"rework",
"exception_chasing",
"duplicate_entry",
"unclear_ownership",
"evidence_gap",
"other"
]
}
},
"strongest_baseline_status": {
"default": "unknown",
"type": "string",
"enum": [
"not_checked",
"checked_cannot_resolve",
"checked_can_resolve",
"current_manual_process_is_baseline",
"unknown"
]
},
"responsible_owner": {
"default": "unknown",
"type": "string",
"enum": [
"identified",
"can_involve",
"unknown"
]
},
"evidence_state": {
"default": "unknown",
"type": "string",
"enum": [
"sanitized_available",
"likely_available",
"unknown",
"not_available"
]
},
"next_occurrence": {
"type": "string",
"maxLength": 500
},
"metric_already_tracked": {
"type": "string",
"maxLength": 500
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_decision_state_capsule_offer(purpose)
Use when an agent already has an exact set of 2-5 public URLs and wants those same sources preserved before acting. Quiet Stance independently fetches the caller-selected URLs in one bounded point-in-time window, preserves source-level failures/version metadata, and does not substitute its own research sources or synthesize them into one answer. This discovery call is free; the actual capture is a paid x402 HTTP call.
Input Schema
{
"type": "object",
"properties": {
"purpose": {
"type": "string",
"maxLength": 500
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢resolve_payment_path(engagement_priced, available_methods, human_can_approve, machine_only_required, requested_currency)
Use only after a Quiet Stance capability or engagement has a real agreed price. Given the buyer's available payment capabilities, returns the preferred machine or human fallback path. It never charges, creates a payment, invents a price, or rejects a buyer merely because they lack machine-payment support.
Input Schema
{
"type": "object",
"properties": {
"engagement_priced": {
"default": false,
"type": "boolean"
},
"available_methods": {
"default": [
"unknown"
],
"maxItems": 20,
"type": "array",
"items": {
"type": "string",
"enum": [
"x402",
"mpp",
"ap2_authorized",
"delegated_card",
"direct_stablecoin",
"flutterwave_checkout",
"paystack_checkout",
"hosted_checkout",
"card",
"bank",
"bank_transfer",
"mobile_money",
"ussd",
"qr",
"apple_pay",
"unknown"
]
}
},
"human_can_approve": {
"default": true,
"type": "boolean"
},
"machine_only_required": {
"default": false,
"type": "boolean"
},
"requested_currency": {
"type": "string",
"maxLength": 12
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟡submit_workflow_inquiry(name, work_email, organization, problem, consequence, ...)
Submit a sanitized inquiry only after the user has explicitly authorized sending it to Quiet Stance. Do not send passwords, API keys, financial credentials, protected records, regulated personal data, or trade-secret documents. Submission creates an inquiry for human review; it does not imply acceptance, payment terms, system access, or authority to act.
Input Schema
{
"type": "object",
"properties": {
"name": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"work_email": {
"type": "string",
"maxLength": 320,
"format": "email",
"pattern": "^(?:[A-Za-z0-9_'+\\-]+\\.)*[A-Za-z0-9_'+\\-]*[A-Za-z0-9_+-]@(?:[A-Za-z0-9][A-Za-z0-9\\-]*\\.)+[A-Za-z]{2,}$"
},
"organization": {
"type": "string",
"maxLength": 240
},
"problem": {
"type": "string",
"minLength": 20,
"maxLength": 3000
},
"consequence": {
"type": "string",
"minLength": 5,
"maxLength": 2400
},
"current_approach": {
"type": "string",
"minLength": 5,
"maxLength": 2400
},
"authorization": {
"type": "string",
"maxLength": 120
},
"recurrence": {
"type": "string",
"maxLength": 500
},
"notes": {
"type": "string",
"maxLength": 1300
},
"agent_source": {
"type": "string",
"maxLength": 80
},
"consent": {
"type": "boolean",
"const": true
}
},
"required": [
"name",
"work_email",
"problem",
"consequence",
"current_approach",
"consent"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Evidence