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validate_project_ci_lint

Read-only

Validate a project's GitLab CI configuration file to catch errors before pipeline execution. Supports dry run simulation to test pipeline behavior.

Instructions

Validate an existing .gitlab-ci.yml configuration for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID or URL-encoded path
content_refNoCommit SHA, branch, or tag to read the existing CI config from
dry_runNoRun pipeline creation simulation
dry_run_refNoBranch or tag context for dry_run validation
include_jobsNoInclude jobs in the lint response
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description's 'validate' is consistent. However, it does not elaborate on the behavior (e.g., that it reads the CI file from the repository based on content_ref) or what the response contains, which would add value.

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

Conciseness4/5

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

Single sentence, no wasted words. It conveys the essential purpose efficiently, though could incorporate more detail without harming 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?

Despite 5 parameters and no output schema, the description does not explain how the parameters interplay (e.g., relationship between content_ref and dry_run_ref). It fails to guide the agent on typical usage scenarios or expected results.

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 coverage is 100% with descriptions for all 5 parameters. The tool description adds no extra meaning beyond the schema, so baseline 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 ('validate') and the resource (an existing .gitlab-ci.yml configuration for a project). It distinguishes from sibling 'validate_ci_lint' by implying project-specific context, but does not explicitly contrast them.

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 on when to use this tool versus alternatives like 'validate_ci_lint'. No mention of prerequisites such as having the project ID or content_ref, or when to set dry_run or include_jobs.

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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