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bitbucket_issues

Manage Bitbucket issues: create, update, list, delete, comment, vote, and watch.

Instructions

Manage Bitbucket issue tracking. Actions:

  • list: List issues in a repository

  • get: Get details of a specific issue

  • create: Create a new issue

  • update: Update an existing issue

  • delete: Delete an issue

  • list_comments: List comments on an issue

  • add_comment: Add a comment to an issue

  • vote: Vote for an issue

  • unvote: Remove vote from an issue

  • watch: Watch an issue for notifications

  • unwatch: Stop watching an issue

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform
workspaceNoWorkspace slug (uses BITBUCKET_WORKSPACE env if omitted)
repo_slugYesRepository slug
issue_idNoIssue ID (required for most actions except list/create)
titleNoIssue title
contentNoIssue description or comment content
stateNoIssue state
priorityNoIssue priority
kindNoIssue type
assigneeNoAssignee account UUID (e.g., "{xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx}")
qNoQuery string to filter issues
sortNoSort field
reporterNoFilter by reporter
pageNoPage number for pagination
pagelenNoResults per page (default: 25, max 100)
formatNoOutput format: json (full), toon (compact tokens), compact (essential fields only)
Behavior2/5

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

No annotations provided, so description carries the burden. It lists actions but does not disclose behavioral traits like authentication needs, rate limits, side effects (e.g., deletion permanence), or output 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?

Description is extremely concise with a clear front-loaded purpose statement and a bullet list of actions. No redundant or irrelevant content.

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

Completeness2/5

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

Despite 100% schema coverage, the description fails to explain return values, error handling, or how parameters map to specific actions. For a tool with 16 parameters and no output schema, this is insufficient.

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%, so baseline 3. The description adds no extra meaning beyond the schema; it merely restates action names without detailing parameter interactions.

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 it manages Bitbucket issue tracking and enumerates all actions (list, get, create, etc.). It differentiates from sibling tools which focus on branches, commits, etc., by targeting issues specifically.

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?

No explicit guidance on when to use this tool vs alternatives. The description implies it's for issue management but lacks context like prerequisites or exclusions.

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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