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Absorb LMS MCP Server and API by Cotlet

Create user in Absorb LMS

absorb_lms_create_user
Read-onlyIdempotent

Create user in the user's own Absorb LMS account from ChatGPT, Claude or any AI agent. Returns how to do it in Absorb LMS step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Absorb LMS Cloud Browser. Absorb LMS's official API: Absorb LMS has an Integration API, a REST API with JSON for learners, courses, departments and grades, but it needs a private key tied to your portal that your Absorb account team provides, and your own code (checked 20 Oct 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "absorb_lms_create_user"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, which would look contradictory against 'Create user' — the description resolves this by explicitly saying it 'opens nothing by itself' and only returns a guide. That is exactly the context an agent needs to avoid assuming a side effect occurred. It does not cover what the guide looks like in edge cases (e.g., user already exists) or any rate/recency caveats beyond the dated API note.

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

Conciseness3/5

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

The operational core is front-loaded and tight, but the closing passage on the Absorb Integration API repeats the product name twice and trails into a parenthetical 'checked 20 Oct 2026' date that adds noise. That API background could be compressed to a clause, since its only actionable content is 'not the right path here.'

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema, and read-only annotations, the description carries the remaining burden and does so: it explains the return shape (step-by-step screens, buttons, fields) and the required follow-up toolset. Remaining gaps are minor — no guidance on what the guide covers if the account lacks permissions, and the odd future-dated verification stamp.

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

Parameters4/5

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

The tool takes zero parameters, so the schema baseline of 4 applies and there is no parameter meaning to add. The description correctly implies no inputs are required, though it never says how the target account/portal is determined absent any 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 first sentence names a specific verb and resource (create a user in Absorb LMS) and the second immediately corrects the obvious misreading by stating the tool returns step-by-step instructions rather than performing the action. That second-sentence correction is essential, because the name alone would suggest a write operation; the description does the disambiguating work, though it could have led with 'returns steps' instead of burying the clarification.

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 gives an explicit workflow: use this tool to get the screens/buttons/fields, then execute the actual creation with the cotlet_browser_* tools in the Cloud Browser. It also explains why the official REST API is not the path here (private key tied to the portal, requires your own code), which implicitly rules out an API-based alternative. It stops short of naming a specific sibling browser tool or stating exclusions such as 'use this only when you intend to perform the action.'

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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