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gitlab_get_file_content

Retrieve file content from GitLab repositories to read source code, configuration files, or documentation by specifying the file path and optional branch reference.

Instructions

Get file content from repository Returns: Raw file content as string Use when: Reading source code, configs, documentation Optional: Specify branch/tag/commit (defaults to default branch)

Example:

  • File: 'src/main.py' → Returns Python code

  • File: 'package.json' → Returns JSON content

  • File: 'README.md' → Returns Markdown

Related tools:

  • gitlab_list_repository_tree: Browse files

  • gitlab_create_commit: Modify files

  • gitlab_get_commit_diff: See file changes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject identifier (auto-detected if not provided) Type: integer OR string Format: numeric ID or 'namespace/project' Optional: Yes - auto-detects from current git repository Examples: - 12345 (numeric ID) - 'gitlab-org/gitlab' (namespace/project path) - 'my-group/my-subgroup/my-project' (nested groups) Note: If in a git repo with GitLab remote, this can be omitted
file_pathYesFile path in repository Type: string Format: Relative path from repository root using forward slashes Required: Yes Examples: - 'README.md' (root file) - 'src/main.py' (nested file) - 'docs/api/endpoints.md' (deeply nested) - '.github/workflows/ci.yml' (hidden directory) Note: Always use forward slashes, even on Windows
refNoGit reference Type: string Format: branch name, tag name, or commit SHA Optional: Yes - defaults to project's default branch Examples: - 'main' (branch) - 'feature/new-login' (feature branch) - 'v2.0.0' (tag) - 'abc1234' (short commit SHA) - 'e83c5163316f89bfbde7d9ab23ca2e25604af290' (full SHA) Default: Project's default branch (usually 'main' or 'master')

Implementation Reference

  • The main handler function that implements the gitlab_get_file_content tool. Extracts project_id, file_path, and optional ref from arguments, detects project if needed, and calls GitLabClient.get_file_content() to retrieve and return the file contents.
    def handle_get_file_content(client: GitLabClient, arguments: Optional[Dict[str, Any]]) -> Dict[str, Any]:
        """Handle getting file content"""
        project_id = require_project_id(client, arguments)
        file_path = require_argument(arguments, "file_path")
        ref = get_argument(arguments, "ref")
        
        return client.get_file_content(project_id, file_path, ref)
  • Defines the Tool schema including name, description, and inputSchema with properties for project_id (optional), required file_path, and optional ref.
    types.Tool(
        name=TOOL_GET_FILE_CONTENT,
        description=desc.DESC_GET_FILE_CONTENT,
        inputSchema={
            "type": "object",
            "properties": {
                "project_id": {"type": "string", "description": desc.DESC_PROJECT_ID},
                "file_path": {"type": "string", "description": desc.DESC_FILE_PATH},
                "ref": {"type": "string", "description": desc.DESC_REF}
            },
            "required": ["file_path"]
        }
    ),
  • Maps the tool name TOOL_GET_FILE_CONTENT to its handler function handle_get_file_content in the TOOL_HANDLERS dictionary, which is used by server.call_tool() to dispatch tool calls.
    TOOL_GET_FILE_CONTENT: handle_get_file_content,
    TOOL_GET_COMMIT: handle_get_commit,
  • Defines the constant TOOL_GET_FILE_CONTENT with the string name 'gitlab_get_file_content' used throughout for tool identification.
    TOOL_GET_FILE_CONTENT = "gitlab_get_file_content"
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. It discloses the return type ('Raw file content as string') and default behavior ('defaults to default branch'), but doesn't mention error conditions, rate limits, authentication requirements, or what happens with binary files. It provides basic behavioral context but lacks comprehensive disclosure.

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 well-structured and front-loaded with core purpose and return value. Each section ('Returns:', 'Use when:', 'Optional:', 'Example:', 'Related tools:') adds specific value without redundancy. Every sentence earns its place in helping the agent understand the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only tool with 100% schema coverage but no output schema, the description provides good context about usage scenarios, examples, and related tools. However, without annotations or output schema, it could better address error cases or limitations. The completeness is strong but not perfect given the complexity.

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 thoroughly. The description adds minimal value beyond the schema - it mentions the optional ref parameter defaults to default branch, which is already in the schema. 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.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the specific action ('Get file content from repository') and resource ('file'), distinguishing it from siblings like gitlab_list_repository_tree (browsing) and gitlab_create_commit (modifying). The examples further clarify the purpose by showing different file types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance is provided with 'Use when: Reading source code, configs, documentation' and 'Related tools' section that names alternatives for browsing files, modifying files, and seeing changes. This gives clear context for when to use this tool versus other options.

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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