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clikader

bitbucket-python-mcp

by clikader

update_repository

Update repository settings in BitBucket, such as description and visibility. Only specify the parameters you want to change.

Instructions

Update repository settings in BitBucket.

Use this tool to modify repository metadata such as description or visibility. Only provide the parameters you want to change.

Args: repository: Repository slug to update. description: New description for the repository. is_private: Whether the repository should be private. workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON object with the updated repository details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
is_privateNo
repositoryYes
descriptionNo

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 full burden. It discloses partial update behavior ('Only provide the parameters you want to change') and return type, but lacks details on prerequisites, side effects, or permissions.

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: a header, a usage line, an Args list, and a Returns line. Every sentence adds value, and key information is front-loaded.

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 the simple update operation and presence of an output schema, the description covers partial updates, parameter details, and return value. It lacks mention of error handling or constraints but is sufficient for a basic update 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 with clear explanations for all four parameters (repository, description, is_private, workspace), adding significant meaning beyond schema types and titles.

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 it updates repository settings in BitBucket, modifying metadata like description or visibility. It distinguishes from sibling tools (create, delete, get) by focusing on updates.

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?

It explicitly says 'Use this tool to modify repository metadata', providing clear context. However, it does not mention when not to use it or name alternatives (e.g., for creating or deleting).

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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