Parameters

Parameter Type Required Description
q string Yes Natural-language query. Searches across tool names, descriptions, tags, languages, and categories.

Query guidance

Good queries usually include:

  • The problem to solve
  • The language or framework
  • Important constraints such as deployment model or integration surface

Example queries:

  • authentication library for Node.js
  • python sdk for Slack bots
  • self-hosted feature flag service for Go

Returns

The tool returns results in Toon (Token-Oriented Object Notation), a compact, token-efficient format for LLM consumption. Learn more at toonformat.dev. Each result includes:

Field Type Description
name string Tool name
description string Full description
languages string[] Supported languages
categories string[] Tool categories
slug string URL-friendly identifier for the tool

Example call

{
  "q": "authentication library for Node.js"
}

Example response (Toon format):

results[1]:
  - name: Example Auth SDK
    description: A TypeScript authentication library for Node.js applications.
    languages[2]: TypeScript,JavaScript
    categories[2]: Authentication,SDK
    slug: example-auth-sdk

Use this tool when

  • The agent needs to recommend a library, CLI, SDK, or API
  • The agent should avoid fabricating or guessing tool names
  • The agent needs accurate metadata before selecting a dependency

Typical workflow

  1. Call search_tools with a task-focused query.
  2. Review the ranked results and metadata.
  3. Use the returned links and descriptions to narrow the candidate set.
  4. Only then recommend or integrate the selected tool.