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zhanglc

Bitbucket MCP Server

by zhanglc

list_pull_requests

List pull requests from a Bitbucket repository, filtering by state or author. Retrieve open, merged, or declined PRs with pagination support.

Instructions

List pull requests for a repository with optional filters

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of PRs to return (default: 25)
startNoStart index for pagination (default: 0)
stateNoFilter by PR state: OPEN, MERGED, DECLINED, ALL (default: OPEN)
authorNoFilter by author username
workspaceYesBitbucket workspace/project key (e.g., "PROJ")
repositoryYesRepository slug (e.g., "my-repo")
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 implies a read operation via 'List', but does not mention default state filtering (OPEN), pagination behavior, or return format. This is minimal and does not expose important behaviors.

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 sentence of 10 words, front-loaded with the verb and resource. Every word contributes to the core purpose, with no redundancy or filler.

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 six parameters, no output schema, and no annotations, the one-sentence description is insufficient. It does not explain default behavior, pagination semantics, or what the returned list contains, leaving significant gaps for an agent to infer.

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?

All six parameters are fully described in the input schema, so the description adds no parameter-level detail beyond the generic note about 'optional filters'. With schema coverage at 100%, the baseline of 3 is appropriate.

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 uses the specific verb 'List' and the resource 'pull requests', scoped to 'a repository', clearly indicating a multi-item listing operation. It indirectly distinguishes from 'get_pull_request' via the plural form, but does not explicitly name sibling alternatives.

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 offers no guidance on when to use this tool versus alternatives like get_pull_request, create_pull_request, or merge_pull_request. It only states the basic function with no exclusions or recommendations.

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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