Quiet Stance Workflow Assessment

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

使うべきか

品質と安全性

B
説明の品質
100%
スキーマの完全性
73%
命名の品質
85%
ポイズニングのリスク
80%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(5)

  • HIGHTool poisoning patterns detected
  • LOWTool 'preview_reference_workflow_assay' name length outside 3-30 rangepreview_reference_workflow_assay 内
  • LOWTool 'get_workflow_assessment_guidance' name length outside 3-30 rangeget_workflow_assessment_guidance 内
  • LOWTool 'get_decision_state_capsule_offer' name length outside 3-30 rangeget_decision_state_capsule_offer 内
  • LOWTool description contains role marker that could confuse chat modelsdiagnose_workflow_bottleneck 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~2,064トークン数(ツール定義)
~1.6 KB一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 1.61%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

https://quietstance.com/mcpstreamable-http

できること

ツール一覧

ツール(8)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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.

入力スキーマ

{
  "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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