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ffpy

GitLab MCP Code Review

by ffpy

approve_merge_request

Approve GitLab merge requests and optionally set required approval thresholds to manage code review workflows.

Instructions

Approve a merge request.

Args:
    project_id: The GitLab project ID or URL-encoded path
    merge_request_iid: The merge request IID (project-specific ID)
    approvals_required: Optional number of required approvals to set
Returns:
    Dict containing the approval information

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYes
merge_request_iidYes
approvals_requiredNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • The core handler function for the 'approve_merge_request' tool. It approves the specified merge request using the GitLab API and optionally updates the number of required approvals. The @mcp.tool() decorator registers it as an MCP tool, including automatic schema generation from the signature and docstring.
    @mcp.tool()
    def approve_merge_request(ctx: Context, project_id: str, merge_request_iid: str, approvals_required: Optional[int] = None) -> Dict[str, Any]:
        """
        Approve a merge request.
        
        Args:
            project_id: The GitLab project ID or URL-encoded path
            merge_request_iid: The merge request IID (project-specific ID)
            approvals_required: Optional number of required approvals to set
        Returns:
            Dict containing the approval information
        """
        gl = ctx.request_context.lifespan_context
        project = gl.projects.get(project_id)
        mr = project.mergerequests.get(merge_request_iid)
        
        mr.approve()
        
        if approvals_required is not None:
            mr.approvals.post({'approvals_required': approvals_required})
            
        return mr.asdict()
  • server.py:479-479 (registration)
    The @mcp.tool() decorator registers the approve_merge_request function as an MCP tool.
    @mcp.tool()
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action but doesn't mention critical behaviors: whether this requires specific permissions (e.g., merge request approver role), if it's idempotent (can you approve multiple times?), what happens on success/failure, or any rate limits. The return value is mentioned but not explained, though an output schema exists.

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 well-structured with clear sections (Args, Returns) and uses minimal sentences. Every sentence earns its place by providing essential information. However, the core purpose statement is overly terse and could benefit from slightly more context without losing conciseness.

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's moderate complexity (3 parameters, mutation action) and lack of annotations, the description is minimally adequate but has clear gaps. It covers parameters and return type at a high level, and an output schema exists to detail returns. However, it misses behavioral context (permissions, idempotency) and usage guidelines, which are important for a mutation tool in a collaborative system like GitLab.

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 0%, so the description must compensate. It lists all three parameters with brief explanations, adding value beyond the bare schema. However, it doesn't clarify important semantics: what format 'project_id' accepts (numeric ID vs. path), what 'IID' means, or how 'approvals_required' interacts with existing approval rules. The coverage is partial but not comprehensive.

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 ('Approve') and resource ('a merge request'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its sibling 'unapprove_merge_request' beyond the obvious verb difference, nor does it explain what 'approving' entails in GitLab's context (e.g., adding an approval vote).

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?

No guidance is provided on when to use this tool versus alternatives like 'unapprove_merge_request' or other merge request operations. The description lacks context about prerequisites (e.g., user permissions, merge request state) or typical workflows, leaving the agent to infer usage from the tool name alone.

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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