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rokrokss
by rokrokss

play_pipeline_job

Run a manual GitLab CI job by specifying project and job IDs, optionally passing custom variables to control the run.

Instructions

Run a manual pipeline job

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idNoThe ID of the job
project_idNoProject ID or URL-encoded path
job_variables_attributesNoCustom job variables to use when running the job

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.35

TDQS

C2.9/5.0
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. 'Run a manual pipeline job' implies a mutating action but does not disclose side effects, prerequisites, failure modes, or what happens after the job is triggered.

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?

The description is a single, front-loaded sentence with no filler. It is appropriately concise, though it does little beyond restating the core action.

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?

For a mutating pipeline operation with no annotations and no output schema, the description omits important context: when to use it, what prerequisites must be met, and what effects triggering the job will have. It is not complete enough for confident agent use.

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% and each parameter has a description, so the schema does the heavy lifting. The tool description adds no parameter-level detail, so a 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 states a clear verb ('Run') and resource ('manual pipeline job'), so an agent can tell this triggers a job. However, it does not explicitly differentiate it from sibling tools like retry_pipeline_job or create_pipeline.

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 given about when to use this tool versus alternatives such as retry_pipeline_job, cancel_pipeline_job, or create_pipeline. The agent is left to infer the appropriate context.

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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