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GitLab MCP Server

GitLab MCP Server

by harshmaur
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

get_file_contents

Retrieve file or directory contents from a GitLab project using project ID, file path, and optional branch reference.

Instructions

Get the contents of a file or directory from a GitLab project

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>",
      "file_path": "<file_path>"
    },
    "name": "get_file_contents"
  }
}

Input Schema

NameRequiredDescriptionDefault
project_idYesProject ID or complete URL-encoded path to project
file_pathYesPath to the file or directory
refNoBranch/tag/commit to get contents from

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • addedInput schema / additionalProperties
      Added value: +false
  2. First observed

TDQS

C2.9/5.0
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 what the tool does but lacks critical details: whether it returns raw file content or metadata, if it supports binary files, pagination for directories, authentication requirements, rate limits, or error conditions. This is inadequate for a tool that likely has complex 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, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy 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?

Given the complexity of file/directory retrieval (potentially involving content types, encoding, or recursive operations), no annotations, and no output schema, the description is insufficient. It doesn't explain what 'contents' means (e.g., file data vs. metadata), return formats, or error handling, leaving significant gaps for an AI agent.

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 three parameters (project_id, file_path, ref) with clear descriptions. The description adds no additional parameter semantics beyond what's in the schema, which is acceptable given the high coverage, resulting in a baseline score of 3.

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 ('Get the contents') and resource ('file or directory from a GitLab project'), making the purpose immediately understandable. It doesn't specifically differentiate from sibling tools like 'get_repository_tree' or 'get_project', but the focus on file/directory contents is reasonably distinct.

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 about when to use this tool versus alternatives like 'get_repository_tree' (which might list directory contents) or 'get_project' (which retrieves project metadata). The description implies usage for retrieving file/directory contents but offers no explicit context or exclusions.

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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