Skip to main content
Glama
Docsbook-io

docsbook-mcp

Official
by Docsbook-io

search_docs

Search documentation content using full-text and semantic queries to locate relevant information.

Instructions

Full-text/semantic search over doc content.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says the tool performs search, but does not mention read-only status, output format, pagination, scope, or any side effects, which is insufficient for understanding behavior.

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

Conciseness3/5

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

The description is one concise sentence without redundancy, which is efficient. However, it is so brief that it omits critical operational details, bordering on under-specification rather than effective conciseness.

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

Completeness2/5

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

Given the complexity of a search tool with numerous specialized siblings, the description is incomplete. It lacks information about query parameters, result format, and scope. With no output schema or annotations, the description is far from adequate for reliable invocation.

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

Parameters2/5

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

The input schema is empty with additionalProperties: true, offering no parameter documentation. The description does not mention expected parameters such as query text or filters, so the agent has no idea how to structure a search request.

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 'Full-text/semantic search over doc content' with a clear verb (search) and resource (docs). However, it does not differentiate this general search from sibling tools like doc_search_text or doc_grep, so it lacks sibling distinction.

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 the many specialized search siblings. No context, exclusions, or alternatives are mentioned, leaving the agent without direction for tool selection.

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/Docsbook-io/docsbook-mcp'

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