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kula-ai

@kula-ai/mcp-server

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by kula-ai

create_user

Invite a new user to your account. Requires email and first name; sends an invitation email to set up their account.

Instructions

Invite a new user to the account. The user is created in the pending state and sent an invitation email. Requires email and first_name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address of the user
first_nameYesFirst name of the user
role_idNoID of the role to assign to the user. Defaults to the Organization Member role if not specified. Use list_roles to discover valid IDs.
last_nameNoLast name of the user
job_titleNoJob title of the user
time_zoneNoIANA timezone identifier (e.g. America/Los_Angeles)
department_idNoDepartment to assign the user to. Use list_departments.
office_idNoOffice to assign the user to. Use list_offices.
reporting_manager_idNoUser the new user reports to. Use list_users.
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses key behaviors: creation in pending state, sending invitation email, and required fields. This adds value beyond the schema by explaining the workflow.

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 sentences, no wasted words, front-loaded with the action. Highly efficient and clear.

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?

With 9 parameters and no output schema, the description is somewhat minimal. It explains the core behavior but omits information about the return value or error conditions, which would be helpful for an agent.

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 baseline is 3. The description only mentions email and first_name as required, adding no extra meaning for optional parameters. It does not improve upon the schema's documentation.

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 invites a new user, creates in pending state, and sends an invitation email. It uses specific verb+resource ('invite a new user') and distinguishes from other user-related siblings.

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 mentions required fields (email and first_name) and implies usage for adding new users. It does not provide explicit when-not or alternative guidance, but the context of pending state and invitation email helps set appropriate expectations.

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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