Skip to main content
Glama

search_github

Search GitHub repositories by query, filtering by name, owner, stars, description, and language. Optionally sort results by stars, forks, or update date.

Instructions

Search GitHub repositories (name, owner, stars, description, language).

Args: query: Search query, e.g. "web scraping language:python". max_results: Max repositories to return (default 20). sort: "best-match" (default), "stars", "forks", or "updated".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNobest-match
queryYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
countNo
errorsNo
scraperNo
source_urlsNo
Behavior2/5

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

No annotations provided; description carries full burden. It does not mention authentication, rate limits, or behavior on no results. Only states it searches repositories.

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?

Purpose is front-loaded, parameter docs are clear and organized. Could be slightly more concise but remains efficient.

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?

Covers purpose and parameters well but lacks behavioral and usage guidance. Output schema exists, so return value explanation is not needed. Adequate but gaps remain.

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

Parameters5/5

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

Schema coverage is 0%; description compensates fully by explaining each parameter: query with example, max_results default, sort options. Adds significant meaning beyond 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?

Description clearly states verb 'Search' and resource 'GitHub repositories', listing fields (name, owner, stars, description, language). Easily distinguishes from sibling search tools like search_books or search_amazon.

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

Usage Guidelines3/5

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

Description provides example query and parameter details but does not explicitly state when to use this tool versus siblings, nor any prerequisites or limitations.

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/mldsveda/PyScrappy'

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