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lawp09

bitbucket-mcp

by lawp09

Get Pull Request Activity

get_pull_request_activity
Read-onlyIdempotent

Retrieve the activity log for any pull request, including comments with resolution status. Supports pagination to control page size and number of pages.

Instructions

Get activity log for a pull request with pagination support.

Args: repo_slug: Repository slug pull_request_id: Pull request ID workspace: Workspace name (optional, defaults to configured workspace) page_size: Items per page (default: 10, max recommended: 100) max_pages: Maximum pages to fetch (default: 1, max recommended: 10)

Returns: Activity log with all events. Comment objects enriched with resolution status: - is_resolved (bool): True if comment is resolved - resolved_by (string or null): User display name who resolved the comment - resolved_on (string or null): Timestamp when comment was resolved

Note: Fetching more than 10 pages or 300 items will trigger a warning.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_pagesNo
page_sizeNo
repo_slugYes
workspaceNo
pull_request_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare read-only and idempotent. The description adds behavioral context: pagination limits, enriched comment resolution status, and a warning for large fetches. This goes beyond annotations, but could detail more about the response structure.

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 concise and front-loaded. The main purpose is in the first line, followed by a list of arguments, return info, and a note. Every sentence adds value without repetition.

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

Completeness5/5

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

Given the presence of an output schema (which documents return values), the description thoroughly covers input parameters, pagination behavior, and limits. It is complete for the tool's complexity level.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by listing each parameter, its purpose, defaults, and recommended max values. This adds meaning beyond the schema's type definitions.

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 clearly states 'Get activity log for a pull request' with pagination support. It uses a specific verb and resource, and the tool's purpose is distinct from sibling tools like get_pull_request_comments, which focus on comments only.

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 does not provide guidance on when to use this tool versus alternatives. It lacks explicit context for when to choose this over similar tools like get_pull_request_activity itself or other activity-related tools. No 'when to use' or 'when not to use' clauses.

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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