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clikader

bitbucket-python-mcp

by clikader

get_repository

Retrieve complete details of a Bitbucket repository, including settings, clone URLs, and metadata, by providing the repository slug and optional workspace slug.

Instructions

Get detailed information about a specific BitBucket repository.

Use this tool when you need full details about a repository, including its settings, clone URLs, and metadata.

Args: repository: Repository slug (the URL-friendly name of the repository). workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON object with complete repository details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo
repositoryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations provided, so description carries full burden. Clearly indicates a read operation ('Get detailed information'). No mention of destructive behavior, authorization, or rate limits, but sufficient for a retrieval tool.

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?

Well-structured with sections (summary, usage, args, returns). No unnecessary words; every sentence adds value.

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

Completeness5/5

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

Covers all aspects: purpose, parameter descriptions, return value (JSON object with complete details). Output schema exists, so brief return description is adequate.

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 coverage is 0%, but description adds meaning: 'repository: Repository slug...' and 'workspace: Workspace slug. If not provided, uses the default workspace.' Fully compensates for missing schema descriptions.

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?

Clearly states 'Get detailed information about a specific BitBucket repository.' Specifies resource (repository) and action (get details). Distinguishes from sibling tools like 'get_repository_contents' and 'list_repositories'.

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?

Explicitly says 'Use this tool when you need full details about a repository,' providing clear context. Doesn't explicitly state when not to use it or name alternatives, but inference is straightforward.

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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