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harshmaur

GitLab MCP Server

by harshmaur

create_merge_request

Create a new merge request in a GitLab project by specifying source and target branches, title, description, and optional details like assignees or labels.

Instructions

Create a new merge request in a GitLab project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID or complete URL-encoded path to project
titleYesMerge request title
descriptionNoMerge request description
source_branchYesBranch containing changes
target_branchYesBranch to merge into
assignee_idsNoThe ID of the users to assign the MR to
reviewer_idsNoThe ID of the users to assign as reviewers of the MR
labelsNoLabels for the MR
draftNoCreate as draft merge request
allow_collaborationNoAllow commits from upstream members
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('create') which implies a write operation, but doesn't mention required permissions, whether the operation is idempotent, potential side effects (e.g., notifications sent), or error conditions. This leaves significant gaps for an agent to understand the tool's behavior.

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 with zero wasted words. It's appropriately sized for a tool with comprehensive schema documentation and gets straight to the point without unnecessary elaboration.

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?

For a mutation tool with 10 parameters and no annotations or output schema, the description is insufficient. It doesn't explain what happens after creation (e.g., returns a merge request object, triggers workflows), error handling, or integration with sibling tools like 'list_merge_requests' or 'update_merge_request'. The context demands more behavioral information.

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?

The schema description coverage is 100%, so the schema already documents all 10 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, but doesn't need to since the schema provides complete coverage. This meets the baseline expectation when 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 clearly states the action ('create') and resource ('new merge request in a GitLab project'), making the purpose immediately understandable. It doesn't explicitly distinguish from sibling tools like 'create_issue' or 'create_branch', but the specificity of 'merge request' inherently differentiates it within the GitLab context.

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 like 'create_issue' or 'update_merge_request'. It doesn't mention prerequisites (e.g., needing an existing project or branches) or contextual cues for when creating a merge request is appropriate versus other actions.

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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