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create_pipeline

Trigger a new GitLab CI/CD pipeline for a branch or tag, optionally passing variables, to start builds and deployments.

Instructions

Trigger a new CI/CD pipeline execution for a branch or tag

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYesBranch or tag name to run the pipeline on
variablesNoOptional CI/CD variables to pass to the pipeline execution
project_idYesProject numeric ID (e.g. 31) or namespace path (e.g. 'group/project-name'). URL-encoding is handled automatically.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.0.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the trigger action and target ref, which implies a write/mutation, but says nothing about permissions required, side effects (e.g., resource consumption), rate limits, or whether the call is idempotent. For a mutation tool with zero annotations, this is a partial gap.

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?

A single, well-formed sentence that front-loads the action and resource with no wasted words. It is appropriately sized for the tool's complexity.

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 no annotations and no output schema, the description covers the core purpose but omits important context: permissions needed, side effects, and what the response returns. The 100% schema coverage mitigates some gaps, but behavioral context is thin for a mutation tool.

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 three parameters (ref, project_id, variables) including examples and enum values. The description adds no parameter-level detail beyond restating that ref is a branch or tag, which the schema also states. Baseline 3 is appropriate when the schema does the heavy lifting.

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 specific verb ('Trigger') and resource ('CI/CD pipeline execution') with scope ('for a branch or tag'). It clearly distinguishes from read-oriented siblings like get_pipeline or list_pipelines, though it doesn't name them explicitly.

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 usage context (triggering an execution on a branch/tag) but offers no explicit guidance on when to use this vs. alternatives like list_pipelines or get_pipeline, nor any prerequisites or exclusions.

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