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clikader

bitbucket-python-mcp

by clikader

list_workspace_members

Retrieve all members of a BitBucket workspace to see team access and find reviewers.

Instructions

List all members in a BitBucket workspace.

Use this tool to see all users who have access to a workspace. Useful for finding reviewers or understanding team membership.

Args: workspace: Workspace slug. If not provided, uses the default workspace.

Returns: JSON list of all workspace members with their details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It clarifies the read-only nature (listing members) and default parameter behavior, but it lacks details on authentication requirements, rate limits, or potential errors. The mention of a JSON return provides some transparency.

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 well-structured, with a front-loaded purpose statement followed by usage guidance, parameter details, and return information. Every sentence adds value without redundancy, achieving high efficiency.

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?

The tool has a simple interface with one optional parameter and an output schema. The description adequately covers the parameter, default behavior, and return format. It could be improved by mentioning error conditions or permission requirements, but overall it is sufficiently complete given the tool's simplicity.

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 input schema has 0% description coverage, so the description adds significant meaning by explaining 'workspace' as a 'Workspace slug' and specifying default behavior ('If not provided, uses the default workspace'). This goes beyond the schema definition.

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 'List all members in a BitBucket workspace', specifying the verb and resource. It distinguishes from sibling tools like 'search_workspace_users' by focusing on listing all members rather than searching for specific users, providing clear differentiation.

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 explains when to use the tool ('see all users who have access to a workspace') and its usefulness ('finding reviewers or understanding team membership'). It implies context but does not explicitly state when not to use it or list alternatives, which would be helpful for deeper guidance.

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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