Skip to main content
Glama
Alosies

GitLab MCP Server

by Alosies

list_pipeline_jobs

Retrieve all jobs in a GitLab pipeline by providing the project ID and pipeline ID. Optionally filter by status or include retried jobs.

Instructions

List jobs in a pipeline

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNoFilter jobs by status
project_idYesProject ID or path
pipeline_idYesPipeline ID
include_retriedNoInclude retried jobs
Behavior1/5

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

With no annotations, the description must disclose behavioral traits, but it only says 'List jobs in a pipeline'. It omits critical details like pagination, ordering, error handling (e.g., missing pipeline), or whether results are limited. This is severely inadequate for effective tool invocation.

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?

The description is a single concise sentence that directly states the tool's purpose without any superfluous words. It is appropriately front-loaded and efficient.

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?

Given the tool has 4 parameters and no output schema, the description is incomplete. It does not explain return values (e.g., job objects structure) or address edge cases. The presence of many sibling tools further demands more context to differentiate usage, which is missing.

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 100%, so the schema already documents all parameters thoroughly. The description adds no extra meaning beyond the schema. Baseline 3 is appropriate as the description does not need to repeat schema info but also provides no additional context.

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

Purpose5/5

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

The description 'List jobs in a pipeline' is a specific verb+resource combination that clearly indicates the tool lists jobs scoped to a pipeline. It distinguishes from siblings like list_pipelines (lists pipelines) and get_job_logs (retrieves logs), which are related but different operations.

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?

The description provides no guidance on when to use this tool versus alternatives, such as get_pipeline for pipeline info or get_job_logs for job details. There is no mention of prerequisites (e.g., having a pipeline_id) or when not to use it.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Alosies/gitlab-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server