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List users

allquiet_list_users
Read-only

Search/list users, optionally filtered by email or display name. All Quiet: GET /v1/user/search/list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoFilter by user email.
limitNoMax users to return.
offsetNoPagination offset.
displayNameNoFilter by user display name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations declare readOnlyHint: true, so the description doesn't need to disclose safety. However, it adds no additional behavioral context (e.g., pagination, rate limits, or default behavior). The endpoint reference is present but does not enhance transparency.

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?

The description is a single clear sentence plus an endpoint reference. It is front-loaded and concise. The endpoint could be considered extraneous for an AI agent, but does not detract significantly.

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

Completeness2/5

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

The tool has no output schema, yet the description does not explain the return format, pagination behavior, or default response when no filters are applied. Given the presence of limit/offset parameters, this gap reduces completeness.

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 description adds minimal meaning beyond the schema. It mentions filtering by email or displayName but does not elaborate on format or constraints.

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's purpose: 'Search/list users, optionally filtered by email or display name.' This is a specific verb-resource combination that distinguishes it from sibling tools like allquiet_list_incidents or allquiet_list_teams.

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 mentions optional filters but provides no guidance on when to use email vs. displayName or when to choose this tool over siblings. Context from sibling names helps, but explicit usage instructions are absent.

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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