Skip to main content
Glama

trigger_pipeline

Triggers a GitLab pipeline on a specified branch or tag, with support for environment and file variables.

Instructions

Trigger a new pipeline for a branch or tag

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or URL-encoded path
refNoBranch or tag name to run pipeline for
variablesNoPipeline variables
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It only says 'Trigger a new pipeline', which implies creation but does not disclose permissions, side effects, or asynchronous behavior. Minimal disclosure.

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 clear sentence without extraneous words. It is front-loaded and efficient.

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

Completeness3/5

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

Given the tool has 3 parameters, no output schema, and no annotations, the description is adequate for basic usage but lacks details on prerequisites, return values, or error conditions.

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 adequately. The description adds no extra meaning beyond what the schema provides, meeting the baseline.

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 clearly states the action (trigger), the resource (pipeline), and the context (for a branch or tag). It distinguishes the tool from siblings like cancel_pipeline or retry_pipeline.

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?

The description implies when to use the tool but does not explicitly state when not to use it or provide alternatives. Among siblings, there are pipeline-related tools, but no guidance is given.

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/yoda-digital/mcp-gitlab-server'

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