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iadevhub
by iadevhub

list_users

Retrieve all users in an iadev project from the editor, so AI assistants can manage user operations without leaving the development environment.

Instructions

Listar usuários do projeto.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it says nothing about read-only safety, permissions/scope required, pagination, result size limits, or whether the current user's project is assumed. It communicates only the bare operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no waste. Its brevity is appropriate for a trivial zero-parameter call, though it leaves no room for the behavioral detail the tool lacks elsewhere.

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

Completeness3/5

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

For a simple zero-parameter read tool this is minimally adequate, but with no output schema the agent gets no sense of the returned user shape, and project scoping/ambiguity versus list_my_projects remains unaddressed.

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 takes zero parameters, so the baseline is 4; there is nothing for the description to clarify beyond the implicit project scope, which it does mention.

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 names a specific verb ('Listar') and resource ('usuários') and scopes it to a project, so the operation is clear. It does not differentiate from sibling list tools such as list_my_projects, nor does it say whether 'do projeto' refers to the current token's project or an implicit one.

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

Usage Guidelines2/5

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

No guidance on when to use this versus alternatives like list_my_projects or get_project_info, and no prerequisites or context for when the listing is appropriate. Usage must be inferred.

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