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everyinfra_search
Destructive

检索。17 个工具用 tool 选: crawl: 爬一个站点的多个页面并取回正文,可用自然语言指定只要哪类页面 crosscheck: 同一个问题并行跑多种机制不同的检索链,按「被几种机制同时命中」给来源分层,再取回最高层来源的一手原文。它回答的不是「搜到了什么」,而 deep: 带正文摘要的深度搜索,full=true 时连全文一起取回 forum: 真人讨论检索。官方文档说「支持」而论坛说「有坑」时,以后者的具体场景描述为准——这是一条独立于官方口径的证据源 harvest: 结构化站点抓取(长任务)。耗时从十几秒到几分钟,只在 crawl 也拿不到时用 lens: 反向图搜:给一张图的 URL,找出用了这张图的页面。方向与 media 相反 map: 列出一个站点的页面结构,只出 URL 不取正文,很快 media: 用词找图片与视频 news: 新闻搜索 places: 地点与商户搜索 read: 抓取指定 URL 的正文。多级降级,一家抓不到自动换下一家 scholar: 学术文献搜索。kind=patents 切到专利检索(公开号、申请人、发明人、申请与公开日期) semantic: 语义检索。用一句自然语言描述你要找什么,不要堆关键词——它能找到标题里不含查询词的深层来源。mode=deep 时检索更深,更慢也更贵 shopping: 商品搜索与比价 similar: 给一个 URL,找语义相似的页面——关键词搜索做不到这件事 suggest: 搜索联想词 web: 通用网页搜索,支持站内限定、地区、时间窗与翻页 ⚠ 要断言一个具体事实(版本号、价格、某 API 存不存在)时用 crosscheck:它返回可复核来源和一致性层级,便于核对。失败或空结果不形成最终扣款;若已预留则自动恢复。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toolYes检索工具
paramsNo该工具的参数,如 {"q":"EU AI Act","num":10}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare openWorldHint=false, but the description routes to web search, news, crawl, forum, and scholar, all of which retrieve from external internet sources. That directly contradicts the closed-world annotation. The description does add useful billing/fallback context, but the contradiction forces a 1 under the rubric.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the dispatch rule and uses a compact list for the 17 sub-tools. The description is long, but the length is largely justified by the number of routing options; a few explanations are more verbose than necessary but still help selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 17-way dispatcher with no output schema, the description supplies behavioral and output hints: map returns URLs only, crosscheck returns layered sources, read has fallback, harvest is long-running, and failed/empty results have billing recovery. It omits auth/rate-limit details and full return semantics for every sub-tool, but is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the top-level `tool` enum and `params` object, but nested per-tool parameters are not documented in the schema. The description compensates by adding meaning for several sub-tools: deep `full=true`, scholar `kind=patents`, semantic `mode=deep`, and web support for site/region/time/pagination.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States '检索' and that 17 sub-tools are selected via the `tool` parameter, then enumerates each sub-tool. The dispatch purpose is clear, though it does not explicitly distinguish the parent everyinfra_search from sibling tools such as everyinfra_call_api.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit routing rules: use crosscheck when asserting specific facts, use harvest only when crawl cannot get content, use lens for reverse image search versus media, and treat forum as an independent evidence source. It provides when-to-use and when-not-to-use guidance among the 17 sub-tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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