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m2ai-mcp-servers

Notion Advisor

list_users

Retrieve all workspace users to reference team members for collaboration.

Instructions

List all users in the workspace. Use when user needs to reference team members.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_sizeNoNumber of users to return

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It clearly implies a read-only operation, but it does not mention pagination behavior, ordering, or response structure, even though page_size exists as a parameter.

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 redundant content. The primary action is stated first, and the usage context follows immediately. It earns its place efficiently.

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?

The tool is simple with one optional parameter, but there is no output schema and no annotations. The description leaves out return-value details and pagination expectations, which would help an agent fully anticipate the tool's behavior.

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?

The schema covers page_size 100% with 'Number of users to return,' so the description adds no new parameter meaning. Per the baseline, this is sufficient since the schema already documents the parameter.

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 states a specific verb and resource: 'List all users in the workspace.' This clearly identifies the tool's function. However, it does not explicitly differentiate from the sibling tool get_user, though 'all users' implies a collection-level operation.

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 provides clear context: 'Use when user needs to reference team members.' This tells the agent when it is appropriate, but it does not mention alternatives or exclusions such as using get_user for a single user.

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