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Alosies

GitLab MCP Server

by Alosies

list_pipelines

Retrieve a list of pipelines in a GitLab project, filtered by status, branch, username, and other criteria. Use this to monitor CI/CD progress and deployment statuses.

Instructions

List pipelines in a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoFilter by branch or tag name
shaNoFilter by commit SHA
nameNoFilter by pipeline name
sortNoSort orderdesc
statusNoFilter by pipeline status
order_byNoOrder pipelines by fieldid
per_pageNoNumber of results per page (max 100)
usernameNoFilter by username of the user who triggered the pipeline
project_idYesProject ID or path
yaml_errorsNoFilter pipelines with YAML errors
updated_afterNoFilter pipelines updated after this date (ISO 8601 format)
updated_beforeNoFilter pipelines updated before this date (ISO 8601 format)
Behavior2/5

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

The description does not disclose behavioral traits such as pagination, default sorting, or that it returns multiple results. With no annotations, the description carries the full burden, but it adds no value beyond the obvious.

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, concise sentence with no wasted words. It could be slightly expanded to include key behavioral details without losing 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?

Given no output schema and 12 parameters, the description is too brief. It omits what the response contains (list of pipelines) and pagination behavior. A more complete description would mention that it returns a list of pipeline objects with pagination via per_page.

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 detailed descriptions for all 12 parameters. The description adds no parameter information, but the schema already provides full documentation. 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 verb ('List') and resource ('pipelines in a project'), distinguishing it from siblings like get_pipeline (single) or create_pipeline. However, it lacks specificity about filtering and sorting capabilities.

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?

No explicit guidance on when to use list_pipelines versus alternatives like get_pipeline or create_pipeline. The context is implied but not stated, leaving the agent to infer from the tool name and schema.

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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