Skip to main content
Glama
lininn

GitLab Review MCP

by lininn

add_review_comment

Add comments to pull requests for code review feedback, supporting line-specific annotations on GitHub or GitLab repositories.

Instructions

Add a review comment to a pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repositoryYesRepository in format "owner/repo"
pullRequestNumberYesPull request number
bodyYesComment body
filePathNoFile path for line comment (optional)
lineNoLine number for line comment (optional)
providerNoGit provider (github or gitlab)gitlab
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 ('Add') which implies a write operation, but doesn't mention permissions required, rate limits, whether comments are editable/deletable, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 that states the tool's purpose without unnecessary words. It's front-loaded and efficiently communicates the core function, making it easy for an agent to parse quickly.

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 6 parameters and no annotations or output schema, the description is incomplete. It doesn't cover behavioral aspects like authentication needs, error conditions, or what the tool returns. The 100% schema coverage helps with parameters, but the overall context for safe and effective use is lacking.

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 6 parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema (like explaining when filePath/line are needed for line comments versus general comments). 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 clearly states the action ('Add') and target resource ('review comment to a pull request'), making the purpose immediately understandable. However, it doesn't differentiate from potential sibling tools like 'create_merge_request' or 'fetch_pull_request' that might also involve pull request interactions, leaving room for ambiguity in tool selection.

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. For example, it doesn't clarify if this is for general comments versus code review-specific feedback, or how it differs from tools like 'create_merge_request' that might also handle pull request interactions. The description offers only the basic function without context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lininn/gitlab-review-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server