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wganalytics

mcp-secure-server-giulia-ai

by wganalytics

listar_usuarios

List all registered users, returning their names and email addresses.

Instructions

Lista todos os usuários cadastrados no sistema. Retorna nome e email de cada usuário.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose that the tool returns name and email for each user, making it clearly a read-only listing operation. But it does not mention authentication needs, pagination behavior, ordering, or possible failure modes, which would strengthen 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 two short sentences with no filler. The primary action is front-loaded, and the return fields are stated immediately. Every sentence earns its place.

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?

For a zero-parameter, simple listing tool, the description is complete: it states what is listed and what is returned. The presence of an output schema further covers return details, and there are no required parameters or nested objects that need explanation.

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 zero properties, and the description correctly adds no confusing parameter information. With 0 parameters, the baseline is 4 because there is nothing for the description to compensate for. The description appropriately focuses on the operation and output.

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 uses a specific verb and resource: 'Lista todos os usuários cadastrados no sistema.' It clearly states the tool's scope (all registered users) and tells the agent what data is returned (name and email). This is unambiguous and distinguishes the tool by domain from its sibling tool_segura.

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 the tool should be used when you need all registered users and their names/emails. However, it does not explicitly state when not to use it, nor does it mention tool_segura or any alternative conditions. The guidance is adequate but left mostly to inference.

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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