Skip to main content
Glama
jsharma103

natural-docs-mcp

by jsharma103

search_docs

Search Natural docs with full-text queries to find relevant pages, returning ranked results with titles and snippets.

Instructions

Full-text search across Natural docs; returns ranked pages with title, slug, and a snippet. Use to find which page covers a topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results, default 5, max 10.
queryYesSearch terms.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses that results are ranked and returns specific fields, but doesn't explicitly state it's read-only or safe.

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

Conciseness5/5

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

Two sentences, front-loaded with the core action, no wasted words. Every sentence adds value.

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 simple search tool with two well-documented parameters, the description covers purpose, output, and usage context. Could mention pagination but not necessary given limit parameter.

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 coverage is 100% with parameter descriptions. The description adds that results are ranked and include specific fields, but doesn't significantly enhance parameter understanding beyond the schema.

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 performs full-text search across Natural docs, returning ranked pages with title, slug, and snippet. This distinguishes it from siblings like list_docs and read_doc.

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?

The description gives a specific use case: 'Use to find which page covers a topic.' While it doesn't explicitly list when not to use or alternatives, the context is clear.

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/jsharma103/natural-docs-mcp'

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