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Create a user

axislms_create_user

WRITE: create a new LMS user. The username must be 4-40 characters (letters, numbers, @ . _ -) and not in use. Returns the new user id. The temporary password the LMS generates is never shown here: give the person access through the LMS itself (its password reset, invitation or single sign-on). Depending on the LMS settings the user may be notified. POST /users/.

Input Schema

NameRequiredDescriptionDefault
zipNo
cityNo
roleNo
emailNo
phoneNo
stateNo
addressNo
companyNo
custom1No
custom2No
custom3No
custom4No
custom5No
custom6No
custom7No
custom8No
custom9No
custom10No
custom11No
custom12No
custom13No
custom14No
custom15No
usernameYes
last_nameNo
date_startNoAccount start date, yyyy-mm-dd.
first_nameNo
manager_idNoUser id of a manager.
date_expireNoAccount expiry date, yyyy-mm-dd.
middle_initNo
localizationNoA language pack name installed in the LMS.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare non-read-only, non-idempotent, open-world behavior, and the description still adds real value: the temporary password is never returned, access must be granted through the LMS itself, and the user may be notified depending on settings. Those side-effect disclosures go beyond the annotations, though reversibility/cleanup on a bad create is not addressed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Five tight sentences, front-loaded with the WRITE marker and the resource, then constraints, then return value, then the password caveat. No filler, though the password sentence is slightly long-winded.

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?

It covers the return value (new user id) compensating for the missing output schema, and handles the most dangerous ambiguity (password). However, for a 31-field create tool it says nothing about which fields are meaningful, how role/manager_id affect the account, or what permissions are required.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 31 parameters and only 13% schema description coverage, the description documents just one field (username format and uniqueness). Role enum, manager_id, dates, localization and the fifteen custom fields are left entirely to bare names, which is a large gap for a create call.

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?

Opens with a specific verb and resource ("WRITE: create a new LMS user") plus the endpoint, which cleanly separates it from get_user, update_user and the search/list siblings. An agent knows exactly what this does without opening the schema.

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?

It gives useful preconditions (username format and uniqueness) and explains where the password comes from, which implicitly tells the agent not to attempt password delivery here. But it never names alternatives such as update_user for existing accounts or search_users to verify availability, so routing guidance is implied rather than stated.

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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