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users_create

Invite a new user to your Yonote workspace by providing their email address and display name. Optionally assign a role: admin, member, or viewer.

Instructions

Invite a new user to the workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesUser display name
roleNoUser role
emailYesUser email address
Behavior2/5

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

With no annotations, the description must convey behavioral traits. It only says 'invite', which implies creation but does not disclose whether an email is sent, whether the user is active by default, what permissions are required, or what the return value is. This is a significant transparency gap for a mutation tool.

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 a single concise sentence with no filler words. It is front-loaded and easy to parse, earning a high score for conciseness despite being minimal.

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?

Given the complexity (3 parameters, no output schema, no annotations), the description is too sparse to be complete. It fails to explain the invitation workflow, likely side effects (e.g., email notifications), or response format, which are crucial for an agent to use the tool correctly.

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 all three parameters with descriptions (email, name, role), achieving 100% schema description coverage. The tool description adds no parameter-specific semantics beyond what the schema already provides, so the baseline of 3 is appropriate.

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 'Invite a new user to the workspace' clearly identifies the action (invite) and the resource (new user), distinguishing it from sibling tools like users_update or groups_add_user. It could be more direct by saying 'create' instead of 'invite', but it is not ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No usage guidance is provided. The description does not mention when to use this tool over alternatives, any prerequisites, or context such as admin permissions. It simply states the function.

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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