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taskhub_project_members

List project members with their roles and user IDs to locate user IDs for task assignments. Auto-detects the project from .taskhub.json when no project ID is given.

Instructions

List members of a project with their roles and user IDs. Useful for finding user IDs when assigning tasks. Auto-detects project from .taskhub.json if not specified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoProject UUID (auto-detected from .taskhub.json if omitted)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.1

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the auto-detection behavior and the fact that projectId is optional, which is useful. However, it doesn't mention whether this is a read-only operation, whether it requires authentication, or what happens if no project is found. For a simple list tool, this is adequate but not rich.

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?

Two sentences with no waste. The primary action and return value are front-loaded, and the auto-detection behavior is stated in a single follow-up sentence. Every word earns its place.

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?

For a simple list tool with one optional parameter and no output schema, the description covers the essential information: what it lists, why it's useful, and how the parameter behaves. It doesn't describe the return format, but with no output schema and a simple resource, this is a minor gap. The tool is complete enough for an agent to call it correctly.

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 the schema already documents the single parameter. The description adds the auto-detection context, which clarifies when the parameter can be omitted. This is a baseline 3 situation: the schema does the heavy lifting, and the description adds a small but useful clarification.

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 states a specific verb ('List'), a specific resource ('members of a project'), and the key data returned ('roles and user IDs'). It also distinguishes itself from sibling tools like taskhub_org_members by focusing on project members, and it explicitly states a use case (finding user IDs when assigning tasks).

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 gives clear context for when to use the tool: when you need project members' roles or user IDs, especially for assigning tasks. It also explains the auto-detection behavior from .taskhub.json, which helps the agent know when projectId can be omitted. It doesn't explicitly name alternatives or exclusions, but the use case is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.