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clikader

bitbucket-python-mcp

by clikader

list_repositories

List repositories in a Bitbucket workspace to discover available repos or browse for specific ones. Optionally specify workspace and limit.

Instructions

List repositories in a BitBucket workspace.

This is the primary tool for discovering repositories. Use this when the user wants to see what repositories are available or when searching for a specific repository by browsing.

Args: workspace: Workspace slug. If not provided, uses the default workspace from BITBUCKET_WORKSPACE environment variable. limit: Maximum number of repositories to return. Default 50.

Returns: JSON list of repositories with their names, descriptions, and URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It states it returns a JSON list with names, descriptions, and URLs, but omits details like sorting order, pagination beyond limit, or whether it uses the default workspace. Adequate but not exhaustive.

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 well-organized with sections for purpose, usage, arguments, and returns. It is concise without being too terse, though some sentences could be streamlined.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of an output schema and the complexity of sibling tools, the description covers the core functionality but lacks details on pagination, sorting, or error handling. It is adequate but not fully complete.

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?

Schema description coverage is 0%, so the description compensates well. It explains the 'workspace' parameter defaults to an environment variable and 'limit' defaults to 50. This adds meaningful context beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it lists repositories in a BitBucket workspace and positions itself as the primary discovery tool. However, it does not explicitly differentiate from the sibling 'search_repositories' tool, which might filter results.

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 provides usage context: use when the user wants to see available repositories or browse for a specific one. However, it does not mention when not to use it or suggest alternatives for filtered searches.

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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