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mdanelutti

bitbucket-mcp-server

by mdanelutti

get_pull_request_comments

List comments on a Bitbucket Cloud pull request to review discussion, using workspace, repository slug, and PR ID.

Instructions

List comments on 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. 'List' implies a read-only operation, but nothing is said about pagination, sorting, result limits, or required permissions. For a read tool with zero annotation coverage, this leaves meaningful behavioral gaps.

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 filler. It is efficient, though it is arguably too terse given the tool's unfiltered listing behavior.

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 read tool with full schema coverage and no output schema, the description is minimally adequate. It omits return-shape and pagination context, but the schema covers all inputs.

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% and all three parameters (workspace, repo_slug, pr_id) are documented in the schema. The description adds no semantics beyond what the schema already provides, so the baseline of 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?

States a specific verb ('List') and resource ('comments on a pull request'), which cleanly separates it from siblings like add_pull_request_comment or get_pull_request_activity. It does not, however, explicitly name or contrast those siblings.

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 get_pull_request_activity (which may also surface comments) or how it differs from add_pull_request_comment. The reader must infer usage from the name alone.

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