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lawp09

bitbucket-mcp

by lawp09

Get Issue

get_issue
Read-onlyIdempotent

Get details for a specific issue in a Bitbucket repository by providing the repository slug and issue ID. Returns issue information or an error if the issue tracker is disabled.

Instructions

Get details for a specific issue.

Args: repo_slug: Repository slug issue_id: Issue ID workspace: Workspace name (optional, defaults to configured workspace)

Returns: Issue details. If the repository has no issue tracker, returns {"error": "issue_tracker_disabled", ...}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_idYes
repo_slugYes
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive behavior. The description adds valuable context: it returns an error if the issue tracker is disabled, which is a behavioral trait beyond annotations. No contradiction with annotations.

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 extremely concise: a single sentence for purpose, followed by structured Args and Returns sections. Every part is necessary and efficiently communicates key information.

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?

Given the tool's simplicity and the presence of annotations and output schema, the description covers essential aspects: purpose, required arguments, return value, and an error condition. Slight lack of alternative suggestions is acceptable.

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?

Despite 0% schema description coverage, the description lists all three parameters with brief explanations: repo_slug (Repository slug), issue_id (Issue ID), and workspace (optional with default). This adds semantic meaning beyond the schema titles.

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?

The description clearly states 'Get details for a specific issue.' It specifies the verb 'Get' and the resource 'issue,' making the purpose unmistakable. However, it does not differentiate from sibling 'get_*' tools like get_issue_comment, relying on the name for distinction.

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?

The description implies usage when a single issue's details are needed, but it does not explicitly state when to use this tool over alternatives like list_issues. There is no guidance on when not to use it or prerequisites.

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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