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search_knowledge

Search knowledge bases across entities and concepts with fuzzy matching. Retrieve relevant pages and content when exact terminology is uncertain.

Instructions

跨 entities/concepts 模糊搜索知识库。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes搜索关键词(模糊匹配页面名 + 内容)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It does disclose fuzzy matching across page names and content via the parameter description, and 'search' implies a read-only operation, but it does not describe result behavior, limits, or other effects.

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?

The description is a single short sentence with no filler or redundant content, and the core scope is front-loaded. It is concise, though very sparse.

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

Completeness3/5

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

For a one-parameter search tool, the input side is adequately covered by the description and schema. However, there is no output schema, no mention of result shape or pagination, and no guidance on alternatives, leaving only minimal operational context.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents the query parameter's meaning fully. The description adds the cross-entity/concept scope but provides no additional parameter-level semantics beyond what the schema states.

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?

The description states a specific verb (search) and resource (knowledge base) with an explicit scope across entities/concepts, making the tool's purpose reasonably clear. It is distinguishable from read/list tools, though it does not explicitly name sibling search tools like commons_search.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as commons_search, read_entity, or list_entities. No exclusions, prerequisites, or selection criteria are provided.

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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