Skip to main content
Glama

search_docs

Search deepset's official documentation to find information about features, API usage, best practices, and troubleshooting guides.

Instructions

Search the deepset platform documentation.

This tool allows you to search through deepset's official documentation to find information about features, API usage, best practices, and troubleshooting guides. Use this when you need to look up specific deepset functionality or help users understand how to use deepset features.

:param query: The search query to execute against the documentation. :returns: The formatted search results from the documentation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
Behavior4/5

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

With no annotations, the description carries full burden. It mentions that it searches documentation and returns formatted search results. No contradictory or misleading statements. Adequate for a simple read-only search tool.

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 relatively concise and front-loaded with the main purpose. The inclusion of a param docstring is somewhat redundant but does not detract significantly. Efficient overall.

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

Completeness5/5

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

For a simple tool with one parameter and no output schema, the description provides sufficient context: what it searches, how to use it (query param), and what it returns (formatted results). No gaps given the low complexity.

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 description coverage is 0%, but the description includes a docstring-style comment: ':param query: The search query to execute against the documentation.' This adds meaning beyond the schema's title and type, compensating for the coverage gap.

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 it searches the deepset platform documentation. Among many search tools for different entities, 'search_docs' is uniquely identified by its resource (documentation), making it easily distinguishable.

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

Usage Guidelines4/5

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

Provides explicit guidance: 'Use this when you need to look up specific deepset functionality or help users understand how to use deepset features.' This tells the agent when to invoke it, though it does not explicitly mention alternatives or when not to use it.

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/deepset-ai/deepset-mcp-server'

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