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mdanelutti

bitbucket-mcp-server

by mdanelutti

unapprove_pull_request

Remove your approval from a Bitbucket pull request by specifying workspace, repository slug, and pull request ID.

Instructions

Remove approval from 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 burden of behavioral disclosure. It does not state whether this removes only the caller's own approval or any approval, whether the action is reversible, what permissions are required, or what happens on failure, which is a notable gap for a mutation tool.

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, front-loaded sentence with no wasted words. It is efficient, though its brevity is also the source of the missing behavioral detail.

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?

For a simple three-parameter mutation with fully documented parameters and no output schema, the description is minimally adequate. However, with no annotations, the absence of any note about whose approval is removed or required permissions leaves an agent under-informed.

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%, so all three parameters (workspace, repo_slug, pr_id) are already documented in the schema. The description adds no parameter-level detail beyond identifying the pull request as the target, so the baseline 3 applies.

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 and resource ('Remove approval from a pull request'), which is unambiguous about the operation. It does not explicitly differentiate itself from the sibling approve_pull_request or request_changes, but the name and description together make the intent clear.

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?

There is no guidance on when to use this tool versus alternatives such as approve_pull_request or request_changes, nor any mention of prerequisites (e.g., must currently be an approver). The agent must infer usage entirely from the name.

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