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chntif
by chntif

gitlab_create_branch

Create a new GitLab branch from a specified source ref (branch, tag, or SHA) using the GitLab REST API.

Instructions

Create repository branch by GitLab REST API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoGitLab project ID. Omit this field unless the user explicitly provided a value. When omitted, the current runtime config value is used (WORKFLOW_CODE_PROJECT_ID overrides the built-in default when configured). If the runtime config is still unset, the tool returns a missing-parameter error. Do not infer or auto-generate this value.
branchNoBranch name to create.
refNoSource ref (branch/tag/SHA).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded.
toolYesTool name.
dataNoCreated GitLab branch payload.
error_typeNoError type when ok=false.
messageNoError message when ok=false.
Behavior2/5

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

With no annotations provided, the description carries full behavioral burden but fails to disclose traits like error handling (e.g., branch already exists), permissions needed, or mutability. The terse description is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with the verb front-loaded. It is concise but could include additional behavioral context without harming conciseness.

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?

Although an output schema exists and schema coverage is high, the description omits important contextual details (e.g., idempotency, ref validity). The minimalism leaves 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?

Input schema provides 100% description coverage for all three parameters, including detailed guidance on project_id. The tool description adds no extra meaning beyond the schema, meeting baseline but not exceeding.

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 'Create repository branch by GitLab REST API' clearly states a specific verb (create) and resource (repository branch), distinguishing it from sibling tools like gitlab_create_issue or gitlab_create_merge_request.

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 on when to use this tool versus alternatives (e.g., gitlab_commit_files) or what prerequisites are needed. The description lacks context for tool selection.

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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