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clikader

bitbucket-python-mcp

by clikader

create_repository

Create a new Bitbucket repository with custom name, description, privacy settings, and optional project assignment.

Instructions

Create a new repository in BitBucket.

Use this tool when the user wants to create a new repository. The repository will be created in the specified workspace with the given settings.

Args: name: Name of the new repository. Will also be used as the slug. description: Optional description of the repository. is_private: Whether the repository should be private (default: True). project_key: Optional project key to associate the repository with a project. workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON object with the created repository details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
workspaceNo
is_privateNo
descriptionNo
project_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description carries the burden. It mentions slug behavior and defaults, but does not disclose permissions, uniqueness constraints, or side effects. Adequate but not thorough.

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 with a clear structure: purpose sentence, usage, Args list, Returns. Front-loaded and no unnecessary words.

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?

Given 5 parameters and presence of output schema, the description adequately covers creation details. Missing error conditions or prerequisites, but overall complete for typical use.

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?

With 0% schema coverage, the description adds meaningful context: explains each parameter, notes name is used as slug, and states defaults. This compensates well for the lack of schema documentation.

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 'Create a new repository in BitBucket', providing a specific verb-resource pair. It differentiates from sibling tools like delete_repository, update_repository, etc.

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 explicitly says 'Use this tool when the user wants to create a new repository.' It lacks explicit alternatives or when-not-to-use guidance, but the context makes the usage clear.

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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