agiscorecard-web3-route
Plan LLM fallback sequences from supplied cost, quality and latency assumptions; no live execution.
사용해야 할까요
품질 및 안전성
A
발견 사항 (1)
- LOWTool 'fetch' suggests web access but openWorldHint=falsefetch에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~1,291토큰 (도구 정의)
~4.4 KB일반적인 응답 크기
중간 정도의 주의 영향 (128k 컨텍스트의 1.01%)
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": {
"agiscorecard-web3-route": {
"url": "https://route.agiscorecard.com/mcp"
}
}
}원격 엔드포인트
https://route.agiscorecard.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (3)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢search(query)
Search this server’s public AI/Web3 tools and citation pages. English and Chinese names supported. Empty query lists the available worksheets.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"maxLength": 160
}
},
"required": [
"query"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"url": {
"type": "string"
}
},
"required": [
"id",
"title",
"url"
],
"additionalProperties": false
}
}
},
"required": [
"results"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢fetch(id)
Retrieve a public tool reference by the ID returned from search. Contains methodology, limits, official source links and fictional worked examples; no user records. Cite the returned canonical URL.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string",
"enum": [
"route"
]
}
},
"required": [
"id"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"text": {
"type": "string"
},
"url": {
"type": "string"
},
"metadata": {
"type": "object",
"properties": {
"version": {
"type": "string"
},
"revision": {
"type": "string"
},
"reviewedAt": {
"type": "string"
},
"evidenceType": {
"type": "string"
}
},
"required": [
"version",
"revision",
"reviewedAt",
"evidenceType"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"text",
"url",
"metadata"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}🟢plan_fallback_routes(currency, budget, maxLatencyMs, minSuccess, maxAttempts, ...)
Route Lab compares short supplier sequences using entered cost, success and latency assumptions. It checks the worst-case total against your budget before sorting feasible options by expected cost. It is an offline planning tool; no model or payment is called. Offline planning only. No live requests, model judge, payment, dynamic bandit or production routing. Retrieve route with fetch or read its example resource to obtain exact inputs. Parameters are processed remotely without application persistence.
입력 스키마
{
"type": "object",
"properties": {
"currency": {
"type": "string",
"maxLength": 131072,
"description": "Currency (preserve source text; decimal amounts must stay strings)"
},
"budget": {
"type": "string",
"maxLength": 131072,
"description": "Total budget (preserve source text; decimal amounts must stay strings)"
},
"maxLatencyMs": {
"type": "number",
"description": "Total latency bound (ms)"
},
"minSuccess": {
"type": "number",
"description": "Minimum success probability (0–1)"
},
"maxAttempts": {
"type": "number",
"description": "Maximum attempts"
},
"candidates": {
"maxItems": 200,
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"maxLength": 131072,
"description": "Record ID (preserve source text; decimal amounts must stay strings)"
},
"cost": {
"type": "string",
"maxLength": 131072,
"description": "Cost (preserve source text; decimal amounts must stay strings)"
},
"success": {
"type": "number",
"description": "Success probability (0–1)"
},
"latencyMs": {
"type": "number",
"description": "Attempt latency bound (ms)"
},
"allowed": {
"type": "boolean",
"description": "Allowed by your policy"
}
},
"required": [
"id",
"cost",
"success",
"latencyMs",
"allowed"
],
"additionalProperties": false,
"description": "Exact record structure; the engine additionally checks bounds, dates, identifiers and cross-field constraints."
},
"description": "Candidates"
}
},
"required": [
"currency",
"budget",
"maxLatencyMs",
"minSuccess",
"maxAttempts",
"candidates"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false,
"description": "Exact record structure; the engine additionally checks bounds, dates, identifiers and cross-field constraints."
}출력 스키마
{
"type": "object",
"properties": {
"toolId": {
"type": "string"
},
"version": {
"type": "string"
},
"revision": {
"type": "string"
},
"processing": {
"type": "string"
},
"evidenceStatus": {
"type": "string"
},
"citation": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"url": {
"type": "string"
},
"methodUrl": {
"type": "string"
},
"reviewedAt": {
"type": "string"
},
"scope": {
"type": "string"
}
},
"required": [
"title",
"url",
"methodUrl",
"reviewedAt",
"scope"
],
"additionalProperties": false
},
"officialReferences": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"url": {
"type": "string"
},
"relationship": {
"type": "string"
}
},
"required": [
"title",
"url",
"relationship"
],
"additionalProperties": false
}
},
"limitations": {
"type": "string"
},
"report": {
"type": "object",
"properties": {
"version": {
"type": "string"
},
"title": {
"type": "string"
},
"summary": {
"type": "string"
},
"metrics": {
"type": "array",
"items": {
"type": "object",
"properties": {
"label": {
"type": "string"
},
"value": {
"type": [
"string",
"number"
]
}
},
"required": [
"label",
"value"
],
"additionalProperties": false
}
},
"tables": {
"type": "array",
"items": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"columns": {
"type": "array",
"items": {
"type": "string"
}
},
"rows": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": [
"string",
"number",
"boolean",
"null"
]
}
}
}
},
"required": [
"title",
"columns",
"rows"
],
"additionalProperties": false
}
},
"notes": {
"type": "array",
"items": {
"type": "string"
}
},
"data": {}
},
"required": [
"version",
"title",
"summary",
"metrics",
"tables",
"notes",
"data"
],
"additionalProperties": false
}
},
"required": [
"toolId",
"version",
"revision",
"processing",
"evidenceStatus",
"citation",
"officialReferences",
"limitations",
"report"
],
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": false
}커뮤니티
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