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lawp09

bitbucket-mcp

by lawp09

Create Pull Request

create_pull_request

Create a pull request in Bitbucket with specified source and target branches, title, description, and optional reviewers. Supports draft mode.

Instructions

Create a new pull request.

Args: repo_slug: Repository slug title: Pull request title description: Pull request description source_branch: Source branch name target_branch: Target branch name workspace: Workspace name (optional, defaults to configured workspace) reviewers: List of reviewer UUIDs (optional) draft: Whether to create the pull request as a draft (default: False)

Returns: Created pull request details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draftNo
titleYes
repo_slugYes
reviewersNo
workspaceNo
descriptionYes
source_branchYes
target_branchYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Annotations indicate a mutation (readOnlyHint=false) but the description lacks details on side effects (e.g., triggering CI, handling duplicates) or error conditions beyond the action of creating.

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 front-loaded with the core purpose and lists parameters cleanly, though the docstring format adds minor redundancy.

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?

Output schema exists so return details are covered; however, behavioral context (e.g., assumed permissions, branch state) is missing, leaving the description moderately complete for a complex tool.

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?

With 0% schema description coverage, the description adds meaning for parameters like draft default and workspace fallback, but leaves source_branch and target_branch with only names, lacking format or constraints.

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 the tool's purpose with a specific verb ('Create') and resource ('pull request'), distinguishing it from siblings like create_draft_pull_request and approve_pull_request.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., create_draft_pull_request) or prerequisites like branch existence or repository permissions.

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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