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rokrokss
by rokrokss

get_merge_request_approval_state

Check which users have approved a GitLab merge request by retrieving its approval state and approver list, using a fallback endpoint when needed.

Instructions

Get merge request approval details including approvers (uses approval_state when available, falls back to approvals endpoint)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or complete URL-encoded path to project
merge_request_iidNoThe IID of the merge request

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.0.35

TDQS

B3.3/5.0
Behavior3/5

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 does reveal useful behavior: it tries approval_state first and falls back to the approvals endpoint. However, it does not clarify possible response differences between those endpoints, authentication needs, or any limitations, leaving meaningful gaps.

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 well-structured sentence. It front-loads the core purpose, then adds the endpoint fallback detail in a parenthetical without wasting words. Every part earns its place.

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?

The tool is relatively simple, but there is no output schema, so the description should convey the return shape. It says 'approval details including approvers' but does not specify whether the result includes approval status, rules, or which fields appear. The fallback behavior also introduces variability that is not fully explained. This is adequate but has clear gaps.

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 project_id and merge_request_iid are already documented in the schema. The description adds no parameter-specific meaning beyond restating that this is about a merge request. This matches the baseline expected when the schema already covers parameters.

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 uses a specific verb and resource: 'Get merge request approval details including approvers.' It clearly indicates this tool is about reading approval state, distinguishing it from mutation siblings like approve_merge_request and unapprove_merge_request. However, it does not explicitly differentiate itself from other get_merge_request_* read tools, so it stops short of a 5.

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 gives no explicit guidance on when to use this tool versus alternatives such as get_merge_request, get_merge_request_conflicts, or approve_merge_request. Mentioning the endpoint fallback gives a technical implementation detail, but not a usage rule or scenario-based recommendation.

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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