Agent Radar

Search, inspect, recommend, and explain rated AI tools through Agent Radar.

使うべきか

品質と安全性

A
説明の品質
73%
スキーマの完全性
98%
命名の品質
90%
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%

検出事項(3)

  • LOWTool 'get_tool_card' description lacks action verbget_tool_card 内
  • LOWTool 'recommend_tools' description lacks action verbrecommend_tools 内
  • LOWTool 'explain_rating' description lacks action verbexplain_rating 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

~1,133トークン数(ツール定義)
~3.1 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 0.89%)

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": {
    "agent-radar": {
      "url": "https://agent-radar.zation1.workers.dev/api/mcp"
    }
  }
}

リモートエンドポイント

https://agent-radar.zation1.workers.dev/api/mcpstreamable-http

できること

ツール一覧

ツール(4)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢search_tools(query, top_k, filters)

Search Agent Radar Tool Cards by query text and optional type, tag, or risk filters.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "default": "",
      "description": "Free-text tool name, capability, or task to search for. Use an empty string to browse the highest-rated matching catalog entries.",
      "type": "string"
    },
    "top_k": {
      "default": 5,
      "description": "Maximum number of results to return, from 1 to 50. Defaults to 5.",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "filters": {
      "description": "Optional exact-match filters applied before search ranking.",
      "type": "object",
      "properties": {
        "type": {
          "description": "Exact Agent Radar tool type to include, such as mcp, skill, agent, framework, or cli.",
          "type": "string",
          "enum": [
            "mcp",
            "skill",
            "agent",
            "framework",
            "cli",
            "prompt",
            "rules",
            "dataset",
            "service"
          ]
        },
        "tags": {
          "description": "Exact catalog tags that every returned tool must contain.",
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "risk_level": {
          "description": "Exact assessed risk level to include: low, medium, high, critical, or unknown.",
          "type": "string",
          "enum": [
            "low",
            "medium",
            "high",
            "critical",
            "unknown"
          ]
        }
      },
      "additionalProperties": false
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

出力スキーマ

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢get_tool_card(tool_id)

Return one Tool Card and its Rating Result by stable tool_id.

入力スキーマ

{
  "type": "object",
  "properties": {
    "tool_id": {
      "type": "string",
      "minLength": 1,
      "description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
    }
  },
  "required": [
    "tool_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

出力スキーマ

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢recommend_tools(task, language_or_stack, environment, preferred_tool_types, allowed_permissions, ...)

Recommend known tools for a task using request-scoped LLM credentials when required.

入力スキーマ

{
  "type": "object",
  "properties": {
    "task": {
      "type": "string",
      "minLength": 1,
      "description": "Natural-language development task for which Agent Radar should recommend suitable AI tools."
    },
    "language_or_stack": {
      "description": "Programming languages, frameworks, runtimes, or other stack constraints relevant to the task.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "environment": {
      "description": "Execution contexts such as local development, CI, browser, cloud, IDE, or production.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "preferred_tool_types": {
      "description": "Agent Radar tool types to prefer when selecting candidates.",
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "mcp",
          "skill",
          "agent",
          "framework",
          "cli",
          "prompt",
          "rules",
          "dataset",
          "service"
        ]
      }
    },
    "allowed_permissions": {
      "description": "Permission scope names the caller is willing to allow; candidates outside these boundaries are treated conservatively.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "risk_tolerance": {
      "description": "Maximum preferred risk tolerance for the recommendation: low, medium, or high.",
      "type": "string",
      "enum": [
        "low",
        "medium",
        "high"
      ]
    },
    "existing_tools": {
      "description": "Tools already available to the project or agent, used as compatibility and duplication context.",
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "budget": {
      "description": "Natural-language cost constraint, such as free, free_or_low_cost, or a project-specific budget.",
      "type": "string"
    },
    "output_format": {
      "description": "Preferred presentation format for recommendation content: json or markdown. MCP still returns structured content.",
      "type": "string",
      "enum": [
        "json",
        "markdown"
      ]
    },
    "top_k": {
      "description": "Maximum number of recommended candidates to return, from 1 to 50. Defaults to 5 when omitted.",
      "type": "integer",
      "minimum": 1,
      "maximum": 50
    },
    "model": {
      "description": "LLM provider model identifier recognized by Agent Radar. Omit it to use the server-configured or registry default model.",
      "type": "string",
      "minLength": 1
    }
  },
  "required": [
    "task"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

出力スキーマ

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}
🟢explain_rating(tool_id)

Return rating dimensions, explanations, penalties, and boosts for one tool_id.

入力スキーマ

{
  "type": "object",
  "properties": {
    "tool_id": {
      "type": "string",
      "minLength": 1,
      "description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
    }
  },
  "required": [
    "tool_id"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": false
}

出力スキーマ

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "additionalProperties": {}
}

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