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clikader

bitbucket-python-mcp

by clikader

approve_pull_request

Approve a pull request to mark changes as acceptable and ready to merge. Requires the pull request ID; repository and workspace are optional.

Instructions

Approve a pull request.

Use this tool to approve a pull request, indicating the changes are acceptable and ready to merge.

Args: pr_id: Pull request ID to approve. repository: Repository slug. If not provided, uses current repository context. workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON object confirming the approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pr_idYes
workspaceNo
repositoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the return value but lacks disclosure of side effects, authorization requirements, or whether the approval triggers merges. Critical behavioral context is missing.

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 with only necessary sentences, front-loads the action, and includes a structured Args section. Every sentence serves a purpose with no 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, reducing need to explain return values. Parameter descriptions are complete. However, missing behavioral context (e.g., preconditions, permissions, side effects) leaves gaps for a mutation tool with no annotations.

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%, but the description compensates by explaining each parameter's meaning and default behavior (e.g., repository slug uses context if not provided). Provides clear semantics beyond the schema types.

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 'approve a pull request' and the purpose 'indicating the changes are acceptable and ready to merge.' It distinguishes from sibling tools like 'request_changes' implicitly, but does not explicitly differentiate, thus score 4.

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 implies when to use (when changes are acceptable) but does not provide explicit guidance on when not to use or alternatives such as 'request_changes' or 'add_pull_request_comment'. No when-not or comparison is provided.

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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