MCP GitLab Server

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

With no annotations provided, the description carries full burden for behavioral disclosure. It effectively describes what the tool returns ('Pipeline status and key findings'), its focus areas ('Failed jobs, error messages, duration'), and specific highlights ('Failed job names and stages, Error excerpts, Performance issues'). However, it doesn't mention potential limitations like rate limits or authentication requirements.

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?

The description is well-structured with clear sections (Returns, Use when, Focus, Highlights, Related tools) and every sentence adds value. It's front-loaded with the core purpose and uses bullet points efficiently. No wasted words or redundant information.

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?

For a tool with 3 parameters, 100% schema coverage, and no output schema, the description provides good context about what the tool does and when to use it. It explains the summary focus areas and relates it to sibling tools. The main gap is lack of output format details, but given the tool's purpose is clear and parameters are well-documented, this is a minor limitation.

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 schema description coverage is 100%, providing comprehensive parameter documentation. The description doesn't add any parameter-specific information beyond what's already in the schema, so it meets the baseline of 3. The description's focus on summary content doesn't enhance parameter understanding beyond the schema's detailed descriptions.

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's purpose: 'Summarize CI/CD pipeline for AI' with specific focus on 'Pipeline status and key findings'. It distinguishes from siblings by mentioning related tools like gitlab_list_pipelines for finding pipelines and gitlab_get_pipeline_job_log for full logs, establishing its unique role in the pipeline analysis workflow.

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 explicitly states 'Use when: Debugging CI failures with AI' and provides clear alternatives in the 'Related tools' section. This gives the agent specific guidance on when to use this tool versus other pipeline-related tools, with named alternatives for different use cases.

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