Agent Radar
Search, inspect, recommend, and explain rated AI tools through Agent Radar.
사용해야 할까요
품질 및 안전성
A
발견 사항 (3)
- LOWTool 'get_tool_card' description lacks action verbget_tool_card에서
- LOWTool 'recommend_tools' description lacks action verbrecommend_tools에서
- LOWTool 'explain_rating' description lacks action verbexplain_rating에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~1,133토큰 (도구 정의)
~3.1 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 0.89%)
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": {
"agent-radar": {
"url": "https://agent-radar.zation1.workers.dev/api/mcp"
}
}
}원격 엔드포인트
https://agent-radar.zation1.workers.dev/api/mcpstreamable-http할 수 있는 일
도구 목록
도구 (4)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search_tools(query, top_k, filters)
Search Agent Radar Tool Cards by query text and optional type, tag, or risk filters.
입력 스키마
{
"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
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {},
"$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.
입력 스키마
{
"type": "object",
"properties": {
"tool_id": {
"type": "string",
"minLength": 1,
"description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
}
},
"required": [
"tool_id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {},
"$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.
입력 스키마
{
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {},
"$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.
입력 스키마
{
"type": "object",
"properties": {
"tool_id": {
"type": "string",
"minLength": 1,
"description": "Stable Agent Radar tool identifier, usually obtained from search_tools results."
}
},
"required": [
"tool_id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {},
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": {}
}커뮤니티
증거
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