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@jestay/bitbucket-mcp

@jestay/bitbucket-mcp

by jestays
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_pull_request

Fetch complete pull request details including title, description, author, branches with commit hashes, state, and reviewer approval status.

Instructions

Get full metadata of a pull request: title, description, author, branches with commit hashes, state, and reviewers with their approval status.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "repo": "<repo>",
      "pr_id": "<pr_id>"
    },
    "name": "get_pull_request"
  }
}

Input Schema

NameRequiredDescriptionDefault
repoYesRepository slug, e.g. "my-service" (not the full URL).
pr_idYesPull request id, e.g. 42.
workspaceNoWorkspace id. Optional when the BITBUCKET_WORKSPACE env var is set.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description must carry the behavioral transparency burden. It outlines the output scope (metadata fields) but does not disclose authentication needs, failure behavior, or explicitly confirm read-only semantics beyond the verb 'Get'. It is adequate but not rich.

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 that front-loads the purpose and lists the included metadata. Every word contributes to understanding the tool's function; there is no unnecessary filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has only 3 parameters with full schema coverage and no output schema, so the description's listing of return fields compensates for missing output schema. It does not mention error cases or workspace usage, but for a straightforward GET operation, this is reasonably complete.

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?

The input schema has 100% description coverage for all three parameters (repo, pr_id, workspace), so the baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides.

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 uses a specific verb and resource ('Get full metadata of a pull request') and lists the exact fields returned (title, description, author, branches, state, reviewers). This distinguishes it clearly from sibling tools like get_pull_request_diff or list_pull_request_comments.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies its use for retrieving pull request metadata, but it does not explicitly state when to use this tool versus alternatives or provide exclusions. Sibling tools are not referenced, leaving usage to be inferred from the purpose statement.

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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