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Ray0907

Git MCP Server

by Ray0907

get_me

Retrieve details about the authenticated user for GitHub or GitLab, including enterprise instances, to verify identity and access permissions.

Instructions

Get information about the currently authenticated user.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states what the tool does but lacks critical details: it doesn't specify what information is returned (e.g., username, email, permissions), whether it requires authentication (implied but not explicit), or any limitations (e.g., rate limits or error conditions). For a tool with zero annotation coverage, this is a significant gap.

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 a single, clear sentence that efficiently conveys the core purpose without any fluff. It's front-loaded with the essential information ('Get information about the currently authenticated user'), and every word earns its place. This is an excellent example of conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what information is returned, which is crucial for an agent to understand the tool's utility. While the purpose is clear, the behavioral and output details are missing, making it inadequate for full contextual understanding.

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

Parameters4/5

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

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description appropriately doesn't discuss parameters, which is correct for a parameterless tool. No additional parameter semantics are needed, so it meets the baseline for this case.

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 action ('Get information') and the target resource ('the currently authenticated user'), making the purpose immediately understandable. It doesn't explicitly distinguish from siblings like 'get_issue' or 'get_pull_request', but the specificity of 'authenticated user' provides inherent differentiation from other 'get_' tools that target repository objects.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (like authentication status), use cases (e.g., checking permissions or user identity), or contrast with other user-related operations that might exist in the broader system. The agent must 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.

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