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list_mr_discussions

Get a paginated list of discussions for a specific merge request in a GitLab project. Use project ID and MR IID to filter results.

Instructions

MR Discussion 목록 조회

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo페이지 번호 (1부터)
mr_iidYesMR iid
instanceNo대상 GitLab 인스턴스명 (생략 시 default)
per_pageNo페이지당 개수 (기본 20)
project_idYes프로젝트 ID
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states the action without any mention of read-only nature, pagination, permissions, or side effects. This is insufficient for safe invocation.

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, short phrase with no redundancy. It is appropriately sized for a simple list operation. Every word serves a purpose.

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?

Given the tool's simplicity and lack of output schema, the description fails to provide context about return values (e.g., discussion fields, pagination metadata). The agent lacks essential information to interpret the tool's results.

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 input schema has 100% description coverage for all 5 parameters, so the schema itself provides clear semantics. The description adds no additional meaning beyond the schema. Baseline score of 3 is appropriate.

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 'MR Discussion 목록 조회' translates to 'List MR Discussions', which clearly states the verb (list) and resource (MR discussions). It is specific enough to identify the tool's purpose among siblings like list_mr_notes. However, it does not explicitly differentiate from similar tools.

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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives such as list_mr_notes or get_mr_diff. The agent receives no context for decision-making.

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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