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arclabs-studio

ARCLinearGitHub-MCP

workflow_validate_branch_name

Validates branch names against ARC naming conventions (e.g., feature/PROJ-123-description) ensuring compliance with required format and type.

Instructions

Validate a branch name against naming conventions.

Args: branch_name: The branch name to validate

Returns: Dictionary with validation result and details

Valid branch format: /- Types: feature, bugfix, hotfix, docs, spike, release Examples: - feature/PROJ-123-user-authentication - bugfix/PROJ-456-login-crash - docs/update-readme

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
branch_nameYes
Behavior3/5

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

The description lacks behavioral details beyond the validation logic. It does not disclose whether the tool is read-only, whether it requires authentication, or what happens on invalid input (e.g., error vs. return message). Since no annotations are provided, the description carries the full burden but only explains the validation format.

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 concise and well-structured, starting with the purpose, then listing argument, return, format, and examples. Every sentence adds value with no redundancy or fluff.

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 simple validation tool with one parameter and no output schema, the description is fairly complete. It explains the validation rules, format, and examples. However, it does not detail the return structure (e.g., what keys like 'valid' or 'errors' might be present), leaving some ambiguity for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema only defines a single string parameter without description, resulting in 0% schema description coverage. The description adds significant value by explaining the expected format, providing valid types, and including concrete examples, which greatly aids correct usage beyond the bare schema.

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 verb 'validate' and the resource 'branch name', and specifies the target of validation is against naming conventions. It is distinct from sibling tools like workflow_generate_branch_name (which creates) and workflow_get_conventions (which retrieves), making purpose unambiguous.

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?

The description implies usage in a validation context but does not explicitly state when to use this tool versus alternatives. For example, it does not mention that this tool is for checking an existing name, while workflow_generate_branch_name should be used to create a valid name. No when-not-to-use or alternative guidance is provided.

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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