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ATERCATES

Bitbucket MCP Server

by ATERCATES

getPullRequestComments

Retrieve comments on a pull request from Bitbucket. It supports pagination and can automatically fetch up to 1000 comments by following next links.

Instructions

List comments on a pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYesBitbucket workspace name
repo_slugYesRepository slug
pull_request_idYesPull request ID
pagelenNoNumber of items per page (Bitbucket pagelen). Defaults to 10 and caps at 100.
pageNoBitbucket page number to fetch (1-based).
allNoWhen true (and no page is provided), automatically follows Bitbucket next links to return all items up to 1000.
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. However, it only states the action without mentioning pagination (despite pagination parameters), ordering, or whether inline comments are included. This lack of detail leaves agent uncertain about behavior.

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 concise sentence with no extra words. It is front-loaded and easy to read, containing only essential information.

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

Completeness1/5

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

With no output schema and moderate complexity (6 parameters, pagination), the description is severely lacking. It does not explain return format, pagination limits (e.g., max 100 per page), or what happens if 'all' is true. The agent has insufficient context to use the tool confidently.

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 coverage is 100%; each parameter is described in the schema. The description adds no additional 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 'List comments on a pull request' clearly states the verb (list) and resource (comments on a pull request). It distinguishes from sibling tools like addPullRequestComment (add) and getPullRequestComment (single comment), making its purpose unambiguous.

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 provides no guidance on when to use this tool versus alternatives such as getPullRequestComment (single comment) or getPullRequestActivity (broader activity). No when-to-use or when-not-to-use context is given.

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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