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clikader

bitbucket-python-mcp

by clikader

create_branch

Create a new branch in a BitBucket repository from a specified source branch, defaulting to 'development'. Optionally, specify repository and workspace.

Instructions

Create a new branch in a BitBucket repository.

Use this tool when the user wants to create a new branch. By default, branches are created from the 'development' branch.

Args: branch_name: Name for the new branch. source_branch: Source branch to create from (default: 'development'). repository: Repository slug. If not provided, uses current repository context. workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON object with the created branch details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
repositoryNo
branch_nameYes
source_branchNodevelopment

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the default source branch but does not disclose behavior on existing branches, error handling, permissions, or side effects, leaving significant gaps.

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 brief with a clear purpose statement followed by a structured Args list. Every sentence adds value, and it is front-loaded with the core action.

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?

The description explains the tool's operation, defaults, and output, but lacks coverage of error conditions or prerequisites like repository existence and permissions, which are relevant for a creation tool.

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

Parameters5/5

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

Schema description coverage is 0%, but the description includes an Args section that explains each parameter's purpose and defaults, adding substantial value beyond the schema properties.

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 states 'Create a new branch in a BitBucket repository' with specific verb and resource, and distinguishes from sibling tools like delete_branch, get_branch, and list_branches by focusing on creation.

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

Usage Guidelines4/5

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

The description clearly says 'Use this tool when the user wants to create a new branch' and explains the default source branch, providing context without explicit exclusions or alternative tool naming.

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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