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DrBoria

md-gitlab-mcp

by DrBoria

fork_repository

Fork a GitLab project into your account or a chosen namespace to create an independent copy for modifications, experimentation, or merge request contributions.

Instructions

Fork a GitLab project to your account or specified namespace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesProject path/name (e.g. 'pro-portal-onboarding-and-retention')
ownerYesProject namespace/path (e.g. 'pro/portal/frontends') or numeric Project ID
organizationNoOptional: organization to fork to (defaults to your personal account)

Schema Changelog

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

  1. First observedv1.0.0

TDQS

A3.5/5.0
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 disclosing behavior. It states the destination but does not disclose that forking creates a copy, requires certain permissions on the source project, or returns the created fork's details. The side effects and operational requirements are left largely to inference.

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?

A single, front-loaded sentence conveys the essential action and destination with no filler. Every word contributes meaning, and the sentence structure makes the tool's purpose immediately scannable.

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?

For a relatively simple 3-parameter tool with complete schema descriptions, this is adequate for basic invocation. However, the absence of an output schema and annotations means the description could usefully explain side effects, permission needs, or when to choose an alternative tool. It is minimally sufficient but not thoroughly complete.

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 already provides detailed descriptions for all three parameters, including examples and the default behavior of 'organization'. The description adds little beyond restating the destination concept, so the score stays at the baseline 3 since schema coverage is 100%.

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 starts with a specific verb ('Fork') and identifies both the resource ('a GitLab project') and the destination ('to your account or specified namespace'). This clearly distinguishes fork_repository from sibling tools like create_repository, which would create a new project rather than duplicate an existing one.

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

Usage Guidelines3/5

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

Usage context is implied by the verb 'Fork' — an agent can infer this is for duplicating an existing project into the user's own namespace. However, there is no explicit guidance about when to prefer this over create_repository or any exclusions, such as permission requirements on the source project.

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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