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mdanelutti

bitbucket-mcp-server

by mdanelutti

approve_pull_request

Approve a Bitbucket Cloud pull request by specifying its workspace, repository slug, and pull request ID to mark it approved.

Instructions

Approve a pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pr_idYesPull request ID
repo_slugYesRepository slug
workspaceYesBitbucket workspace slug

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it says nothing about permissions required, whether the approval is idempotent, whether it can be reversed via unapprove_pull_request, or whether it interacts with merge gating. For a mutation with zero annotation coverage this is a substantial gap.

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?

A single short sentence that is front-loaded and free of filler. It is efficient, though its brevity is partly under-specification rather than disciplined concision.

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?

For a mutation tool with no annotations and no output schema, the definition omits auth/permission requirements, the effect of approval on merge readiness, idempotency, and reversibility. An agent can guess the call shape from the schema but lacks the behavioral context needed to invoke it responsibly.

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?

Schema description coverage is 100%, with workspace, repo_slug, and pr_id each documented in the schema, so the description need not re-explain them. It adds no format or constraint detail beyond the schema, matching the baseline 3 for fully-covered schemas.

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 states a specific verb ('Approve') and resource ('pull request'), so the agent knows exactly what operation is performed. It does not, however, distinguish this from near-neighbors like merge_pull_request, request_changes, or unapprove_pull_request, leaving sibling differentiation to the agent.

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 on when to approve versus request_changes, merge_pull_request, or the inverse unapprove_pull_request. The agent must infer usage purely from the tool name and the sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.