Skip to main content
Glama

list_user_repositories

Fetch a GitHub user's repositories by username. Use this to analyze their projects and contributions.

Instructions

Fetch a user's repositories.

Args: username: The exact GitHub username to look up.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'fetch' without mentioning authentication requirements, rate limits, or the shape of the result. This is a minimal disclosure for a tool that likely performs an external API call.

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?

The description is extremely concise, with a single sentence and a parameter listing. Every word earns its place, and there is no fluff. This is appropriate for a simple tool.

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?

The tool is simple with one parameter and an output schema, so the description doesn't need to explain return values. However, it lacks context about the scope (e.g., does it include private repos?) and fails to mention any pagination or result limits. It is minimally sufficient but has clear gaps.

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 description coverage is 0%, so the description must compensate. The Args section adds 'exact' and 'to look up' to the username parameter, providing marginal meaning beyond the schema's title. It clarifies the parameter's role but lacks details like formatting or case sensitivity.

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 clearly states the tool fetches a user's repositories, which is a specific verb and resource. It is distinct from siblings like get_repository (single repo) or get_user_profile (profile), but does not explicitly differentiate itself, so it doesn't earn a 5.

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 alternatives. No exclusions, prerequisites, or context are provided, leaving the agent to infer usage from the name and description alone.

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/ZenitsuAckerman/GitHub-Mcp'

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