Skip to main content
Glama

search_documents

Search a knowledge base for passages relevant to a natural-language query, using semantic, lexical, or hybrid retrieval strategies.

Instructions

Search the knowledge base for passages relevant to a query.

Args: query: natural-language search query. top_k: number of passages to return. method: retrieval strategy — "semantic", "lexical", or "hybrid".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
top_kNo
methodNohybrid

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, and the description does not disclose behaviors such as read-only status, authorization needs, or side effects. It only states the search functionality.

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 concise with a clear purpose sentence followed by parameter list. It is front-loaded and contains no unnecessary text, though could be slightly more structured.

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?

The output schema exists, so return values need not be covered. However, missing details like maximum top_k, ordering of results, or clarification of 'hybrid' method make it adequate but not 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?

Despite 0% schema description coverage, the description explains all three parameters (query, top_k, method) with clear semantics, going beyond the schema's titles and defaults.

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

Purpose5/5

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

The description clearly states the tool searches the knowledge base for passages relevant to a query, distinguishing it from siblings like answer_question (answering) and get_stats (statistics).

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?

No guidance is provided on when to use this tool versus alternatives (e.g., answer_question). The description only lists parameters without context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/elhassane1230/mcp-rag'

If you have feedback or need assistance with the MCP directory API, please join our Discord server