Quiet Stance Workflow Assessment

Assess recurring workflows and submit an authorized sanitized inquiry for human review.

사용해야 할까요

품질 및 안전성

B
설명 품질
100%
스키마 완전성
73%
이름 품질
85%
오염 위험
80%
권한 일치
100%
프로토콜 준수
100%

발견 사항 (5)

  • HIGHTool poisoning patterns detected
  • LOWTool 'preview_reference_workflow_assay' name length outside 3-30 rangepreview_reference_workflow_assay에서
  • LOWTool 'get_workflow_assessment_guidance' name length outside 3-30 rangeget_workflow_assessment_guidance에서
  • LOWTool 'get_decision_state_capsule_offer' name length outside 3-30 rangeget_decision_state_capsule_offer에서
  • LOWTool description contains role marker that could confuse chat modelsdiagnose_workflow_bottleneck에서

도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.

컨텍스트 비용

~2,064토큰 (도구 정의)
~1.6 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.61%)

이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.

설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "workflow-assessment": {
      "url": "https://quietstance.com/mcp"
    }
  }
}

원격 엔드포인트

https://quietstance.com/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (8)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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.

입력 스키마

{
  "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"
}

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