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clikader

bitbucket-python-mcp

by clikader

get_current_user

Retrieve the authenticated user's account information, including email addresses and account ID, to verify identity or enable self-assignment.

Instructions

Get the authenticated user's account information including email addresses.

Use this tool to get information about the currently authenticated BitBucket user, including their email addresses. This is useful for:

  • Verifying which account is being used

  • Getting the user's email addresses

  • Getting the user's account_id for self-assignment

Returns: JSON object with the authenticated user's details and email addresses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It states the tool returns a JSON object with user details and email addresses, implying a read-only operation. While it could explicitly mention being non-destructive or safe, the behavior is straightforward for a 'get' tool.

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, with a single paragraph and bullet points for use cases. It is front-loaded with the main purpose and contains no unnecessary words.

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 that there is an output schema (not shown), the description does not need to detail return structure. It adequately explains the tool's function and return type. The sibling tools are diverse, and this tool stands alone, so no additional context is needed.

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?

The tool has zero parameters, so the baseline is 4 as per guidelines. The description clarifies that no input is needed and confirms the output context, adding meaning beyond the empty schema.

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 the tool retrieves the authenticated user's account information including email addresses. It uses a specific verb (Get) and resource (authenticated user's account information), and distinguishes itself from sibling tools that focus on repositories, pull requests, branches, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly lists when to use this tool (verifying account, getting email addresses, getting account_id for self-assignment). While it doesn't mention when not to use it, the context of sibling tools provides alternative options, and the use cases are concrete.

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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