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mungowang
by mungowang

gitlab_pipeline_jobs

Read-only

List the jobs of a GitLab pipeline with their status, stage, and failure reason to diagnose pipeline failures.

Instructions

List the jobs of a pipeline with their status, stage and failure reason. Job logs are text, not JSON, so they are not reachable from this JSON layer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number; see pagination.nextPage in the result
perPageNoitems per page, max 100 (GitLab default is 20)
projectYesproject id ('42') or full path ('group/subgroup/app'); a path is URL-encoded for you
pipelineIdYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
paginationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

The readOnlyHint annotation already establishes this as a safe read. The description adds genuine value by disclosing a limitation — job logs are text and not reachable from this JSON layer — but it says nothing about pagination behavior or data freshness beyond the schema.

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?

Two tightly written sentences that front-load the capability and then immediately qualify it. Every clause earns its place.

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

Completeness4/5

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

An output schema exists, so return values need not be explained, and the description covers both capability and the log-access boundary. It is complete enough for an agent to call correctly, with only minor gaps around pagination intent.

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 description coverage is 75%, so the schema documents project, page and perPage while pipelineId carries no description. The description adds no parameter-level meaning, so the baseline 3 applies.

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?

States a specific verb ("List") and resource ("jobs of a pipeline") and even names the returned fields (status, stage, failure reason). It is unambiguous, though it does not point at any sibling since there is no direct job-listing alternative.

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

Usage Guidelines3/5

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

Usage is implied by the resource description, and the note that job logs are unreachable from this JSON layer is a useful exclusion, but there is no explicit when-to-use framing or comparison against alternatives like the raw API tool.

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