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Doist

Twist AI MCP Server

Official
by Doist

get-users

Read-onlyIdempotent

Retrieve users from a Twist workspace. Optionally filter by specific user IDs or search names and emails case-insensitively.

Instructions

Get users from a workspace. Retrieves all workspace users by default, or specific users if userIds array is provided. Supports optional case-insensitive search filtering by name or email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
userIdsNoOptional array of specific user IDs to fetch. If not provided or empty array, fetches all workspace users.
searchTextNoOptional search text to filter users by name or email (case-insensitive).
workspaceIdYesThe workspace ID to get users from.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYes
usersYes
totalUsersYes
workspaceIdYes
filteredUsersYes
Behavior4/5

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

Annotations already declare read-only and non-destructive nature. Adds behavioral context about default retrieval of all users and case-insensitive search, but doesn't mention potential pagination or limits.

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 efficient sentences: first states core purpose, second adds optional behavior. No wasted words.

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?

Comprehensive for a simple list retrieval tool with output schema present. Covers purpose, filtering, and default behavior. Minor gap: no mention of pagination or rate limits, but acceptable.

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?

Adds meaning beyond schema descriptions: clarifies default behavior for empty userIds (fetches all) and that searchText is case-insensitive. Schema coverage is 100%, so the description adds helpful context.

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?

Clearly states the tool retrieves users from a workspace, with default all users or specific ones via userIds, and optional search filtering. Distinguishes from sibling tools like get-groups and get-workspaces.

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?

Implies usage for fetching workspace users with filtering, but does not explicitly state when to use alternatives (e.g., user-info for single user) or provide exclusion criteria.

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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