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Kallows

MCP Bitbucket Python

by Kallows

bb_create_repository

Create a Bitbucket repository with specified name, description, and privacy settings. Initialize issue tracking and define project or workspace details using this integration tool.

Instructions

Create a new repository in Bitbucket

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionNoRepository description
has_issuesNoWhether to initialize the repository with issue tracking enabled
is_privateNoWhether the repository should be private
nameYesRepository name
project_keyNoThe project key where the repository will be created (optional for personal repos)
workspaceNoTarget workspace (defaults to kallows, can use ~ for personal workspace)kallows
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates a repository but doesn't mention permissions required, whether the operation is idempotent, potential side effects (e.g., initializing with default settings), or error conditions. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place, achieving optimal conciseness.

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

Completeness2/5

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

Given the complexity of a repository creation tool with no annotations and no output schema, the description is incomplete. It doesn't cover behavioral aspects like authentication needs, rate limits, or return values, nor does it provide usage context. For a mutation tool in a collaborative platform like Bitbucket, more guidance is needed to ensure safe and effective use.

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

Parameters3/5

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

The input schema has 100% description coverage, clearly documenting all 6 parameters, so the baseline is 3. The description adds no additional parameter semantics beyond what's in the schema (e.g., it doesn't explain naming conventions, project_key dependencies, or workspace implications), but it doesn't need to since the schema is comprehensive.

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 the action ('Create') and resource ('new repository in Bitbucket'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its siblings like bb_create_branch or bb_create_issue, which also create resources in Bitbucket, so it doesn't fully distinguish itself within the tool family.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing workspace access), compare it to sibling tools like bb_search_repositories for finding existing repos, or specify scenarios where creation is appropriate versus not. This leaves the agent with minimal context for decision-making.

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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