CERN GitLab MCP Server

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

With no annotations provided, the description carries the full burden. It correctly identifies the tool returns a 'comprehensive summary' and performs read-only analysis, but fails to disclose execution time expectations, rate limiting, cache behavior, or the specific structure/format of the returned technical stack summary.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences efficiently cover: (1) core purpose and scope, (2) aggregation characteristic distinguishing it from atomic operations, and (3) return value description. No redundancy or filler content; information density is high with clear logical progression.

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

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

Given the absence of both annotations and output schema, the description adequately explains the tool's analytical scope but insufficiently compensates for missing return value documentation. For a complex analysis tool aggregating multiple inspection types, the 'comprehensive summary' description is too vague regarding output structure.

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

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

The input schema has 100% description coverage with clear examples (numeric ID vs. path format for 'project', branch/tag/commit for 'ref'). The description implies the 'project' parameter targets CERN GitLab repositories but does not add semantic constraints or usage notes beyond what the schema already provides, warranting the baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool analyzes CERN GitLab repositories with specific focus on structure, build systems, and dependencies. It distinguishes itself from siblings like get_project_info and get_file_content by emphasizing deep technical analysis (CI/CD inspection, dependency analysis) rather than basic metadata or file retrieval.

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

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

The description notes that the tool 'combines functionality' of multiple analysis types into a single operation, implying it's a convenience wrapper for comprehensive analysis. However, it lacks explicit guidance on when to use this aggregated tool versus specific sibling tools, or prerequisites like repository access permissions.

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