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danielefavi

Code Review MCP Server

by danielefavi

gitlab_get_project_metadata

Fetch project metadata including README and manifest files from GitLab repositories to support code review analysis and architectural assessment.

Instructions

Fetch project metadata (README and manifests)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoIdYesProject ID or URL-encoded path
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. It states what is fetched but doesn't disclose behavioral traits such as authentication requirements, rate limits, error conditions, or response format. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.

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, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to understand at a glance. Every part of the sentence contributes to clarity.

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 complexity of fetching metadata and the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'metadata' entails beyond README and manifests, nor does it cover return values, error handling, or authentication needs. For a tool with no structured support, more context is needed.

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?

The schema description coverage is 100%, with the single parameter 'repoId' fully documented in the schema. The description doesn't add any parameter-specific details beyond what the schema provides, such as examples or constraints. With high schema coverage, the baseline score of 3 is appropriate.

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 ('Fetch') and the resource ('project metadata'), specifying that it includes 'README and manifests'. It distinguishes from siblings like 'gitlab_read_file' by focusing on metadata rather than file contents. However, it doesn't explicitly differentiate from 'github_get_project_metadata', which serves a similar purpose for a different platform.

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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention when to prefer it over 'gitlab_read_file' for README access, or how it differs from 'github_get_project_metadata' in context. The description lacks any usage context, prerequisites, or exclusions.

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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