Verdict

Design review as MCP tools: critique, states, journeys, UI copy, PRD assumptions. BYOK or hosted.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
92%
命名の品質
93%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

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

~983トークン数(ツール定義)
~926 B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 0.77%)

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": {
    "verdict": {
      "url": "https://verdict.allthepossibles.com/mcp"
    }
  }
}

リモートエンドポイント

https://verdict.allthepossibles.com/mcpstreamable-http

できること

ツール一覧

ツール(6)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢critique_experience(artifact, prd, context)

Adversarial critique of a design, given as a description or a screenshot URL, with an optional PRD. Returns findings ranked by severity covering hierarchy, density, affordance, composition, copy, and the first-use / 500th-use / zero-data / huge-data / no-permission / irreversible questions. Call it before presenting a design to a human or handing it to engineering.

入力スキーマ

{
  "type": "object",
  "properties": {
    "artifact": {
      "type": "object",
      "description": "The design under review.",
      "properties": {
        "type": {
          "type": "string",
          "enum": [
            "description",
            "screenshot_url"
          ]
        },
        "value": {
          "type": "string",
          "description": "A written description of the design, or an https URL to a screenshot."
        }
      },
      "required": [
        "type",
        "value"
      ]
    },
    "prd": {
      "type": "string",
      "description": "Optional brief or PRD. Without one, the review judges against general principles."
    },
    "context": {
      "type": "string",
      "description": "Optional: audience, the single most important action, viewport."
    }
  },
  "required": [
    "artifact"
  ]
}
🟢generate_state_matrix(feature_description, known_dimensions)

Generates the state space for a feature, form or screen across data, loading, permission, network, account, content, time, concurrency, outside dependencies, money, consistency and people, and lists the gaps most likely to cause real harm. Call it when a feature is described and you want to know what nobody drew.

入力スキーマ

{
  "type": "object",
  "properties": {
    "feature_description": {
      "type": "string",
      "description": "The feature, form or screen, in prose or as a spec."
    },
    "known_dimensions": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Optional: dimensions you already cover, so they are skipped."
    }
  },
  "required": [
    "feature_description"
  ]
}
🟢map_journey(objective, user_maturity)

Breaks a user objective into the stages of a real journey and flags entry points and exit paths that have no designed arrival or recovery. Optionally focuses on one user maturity (first use, occasional, habitual, expert). Describes behavior, not screens.

入力スキーマ

{
  "type": "object",
  "properties": {
    "objective": {
      "type": "string",
      "description": "What the person is trying to accomplish, in their words."
    },
    "user_maturity": {
      "type": "string",
      "enum": [
        "first_use",
        "occasional",
        "habitual",
        "expert"
      ]
    }
  },
  "required": [
    "objective"
  ]
}
🟢audit_copy(strings)

Per-string critique of interface copy: buttons, errors, empty states, confirmations, notifications. Each string comes back with the problem and a fix, or nothing if it already works. Call it before shipping UI strings.

入力スキーマ

{
  "type": "object",
  "properties": {
    "strings": {
      "type": "array",
      "maxItems": 60,
      "items": {
        "type": "object",
        "properties": {
          "text": {
            "type": "string"
          },
          "context": {
            "type": "string",
            "enum": [
              "button",
              "error",
              "empty_state",
              "confirmation",
              "notification"
            ]
          }
        },
        "required": [
          "text",
          "context"
        ]
      }
    }
  },
  "required": [
    "strings"
  ]
}
🟢find_assumptions(prd_text)

Reads a PRD or design brief and extracts the unverified assumptions inside it, ranked by risk, each turned into a research question that could change a decision. Never simulates user answers.

入力スキーマ

{
  "type": "object",
  "properties": {
    "prd_text": {
      "type": "string",
      "description": "The PRD, brief or proposal."
    }
  },
  "required": [
    "prd_text"
  ]
}
🟢check_terminology(sources)

Finds concepts that carry different names across surfaces (UI strings, docs, API reference, support macros) and flags drift. Pass the text from each surface; nothing needs connecting.

入力スキーマ

{
  "type": "object",
  "properties": {
    "sources": {
      "type": "array",
      "maxItems": 12,
      "items": {
        "type": "object",
        "properties": {
          "label": {
            "type": "string",
            "description": "Where this text lives, e.g. 'onboarding UI', 'API reference'."
          },
          "text": {
            "type": "string"
          }
        },
        "required": [
          "label",
          "text"
        ]
      }
    }
  },
  "required": [
    "sources"
  ]
}

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