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EnesPolovina

bitbucket-mcp

by EnesPolovina

Read pull request comments

get_comments
Read-only

Fetch existing pull request comments, including inline comments with file and line details, to avoid repeating points in your review.

Instructions

Read existing comments on a pull request, so a review does not repeat points someone already raised. Inline comments carry the file and line they sit on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum comments to return
repo_slugNoRepository slug, e.g. "billing-api". Defaults to BITBUCKET_REPO_SLUG.
workspaceNoBitbucket workspace ID, e.g. "acme". Defaults to BITBUCKET_WORKSPACE.
pull_request_idYesPull request number
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds the useful detail that inline comments carry file and line, but does not discuss rate limits, pagination, or default behavior. This is adequate but not rich beyond the annotation.

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 two sentences long, front-loaded with the primary purpose, and contains no redundant information. Every sentence earns its place.

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?

For a read-only tool with a fully documented schema and readOnlyHint annotation, the description adequately conveys purpose and a key data detail (inline comments have file/line). It doesn't enumerate all return fields, but no output schema exists; this is a minor gap.

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 each parameter clearly documented including defaults and examples. The description adds no parameter-specific meaning beyond what the schema already provides, so the baseline score of 3 applies.

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: 'Read existing comments on a pull request.' It clearly distinguishes itself from sibling tools like post_comment (write) and get_pull_request (PR metadata), and adds the purpose of avoiding duplicate review points.

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

Usage Guidelines4/5

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

The phrase 'so a review does not repeat points someone already raised' provides a clear use case: check existing comments before posting a review. It doesn't explicitly name alternative tools or exclusions, but the context is clear among the sibling tools.

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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