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speakai

Speak AI MCP Server

Official
by speakai

List Users

list_users
Read-onlyIdempotent

Retrieve a list of workspace users with their IDs, names, emails, and permissions. Use the returned IDs to assign members to user groups.

Instructions

List the users (members) in the workspace/company, with their ids, names, emails, and permissions. Use the returned _id values when assigning members to user groups.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo0-based page index (default 0)
sortByNoSort expression "field:asc" or "field:desc", e.g. "createdAt:desc", "email:asc"
pageSizeNoResults per page (default 50)
filterNameNoSearch text. Plain text matches first/last name or email; prefix with "email:" or "name:" to scope, e.g. "email:jane@acme.com".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint, and idempotentHint, covering the basic behavioral profile. The description adds context about the output fields and a common use case, providing additional transparency beyond annotations.

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 only two sentences, both front-loaded and efficient. The first sentence states the purpose and output, the second provides a practical usage tip. No unnecessary words.

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?

Given the presence of an output schema and sufficient schema documentation for all parameters, the description provides all necessary context. It states the output fields and a key usage scenario, making it complete for a read-only list tool.

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?

All parameters have descriptions in the input schema, so schema description coverage is 100%. The description does not add any additional parameter information beyond what the schema already provides.

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 it lists users with specific fields (ids, names, emails, permissions) and provides a concrete use case (using _id for user groups). It distinguishes itself from sibling tools like list_user_groups which lists groups, not users.

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 implicitly guides usage by mentioning the returned _id values are used for assigning members to user groups, which indicates when to use this tool. However, it does not explicitly state when not to use it or compare it to alternatives, leaving some room for ambiguity.

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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