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developer-tools-mcp-server

search_github

Read-only

Search GitHub repositories by keyword to discover code, projects, and libraries. Returns matching repositories with star count, description, language, and URL. Use for finding libraries, examples, or competitive projects in specific domains.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch keywords or project name (e.g. 'web framework', 'authentication library', 'data visualization')
max_resultsNoNumber of repository results to return (default 10, up to 100 for broad searches)

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered. The description adds useful context about return values (star count, description, language, URL) and the scope of results, which goes beyond the annotations.

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 primary action, and every clause earns its place. No fluff, no repetition, and appropriately sized for the tool's simplicity.

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 search tool with 2 well-documented parameters, open-world hints, and no output schema, the description covers purpose, use cases, and return shape. Nothing essential is missing.

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%, so the baseline is 3. The description does not add any extra semantic detail beyond what the schema already provides; it merely restates that it searches by keyword, which the 'query' parameter already says.

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?

Clearly states a specific verb and resource ('Search GitHub repositories by keyword') and explains what it returns. Differentiates itself from siblings like get_github_repo (search vs specific) and other search tools (Arxiv, Stack Overflow) through its scope.

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?

Explicitly says to use it for 'finding libraries, examples, or competitive projects in specific domains,' giving a clear intended use case. Does not explicitly mention when not to use it, but the purpose is distinct enough from siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: get for specific GitHub repos and npm/PyPI packages, search for GitHub repos, arXiv papers, Google Scholar papers, and Stack Overflow Q&A. No two tools overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_source pattern using snake_case (get_github_repo, get_npm_package, search_arxiv, etc.). This makes the set predictable and easy to navigate.

Tool Count5/5

With 7 tools, the server covers a focused domain—developer research and resource evaluation—without bloat. Each tool contributes a distinct function, and the count is well-balanced for the scope.

Completeness4/5

The tool surface covers fetching metadata for known repos/packages and searching multiple external platforms. A minor gap is the lack of direct search for npm or PyPI packages, but GitHub search partially fills this need. Overall, lifecycle coverage is appropriate for a read-only research assistant.

Resources