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Absorb LMS MCP Server and API by Cotlet

Message learners in Absorb LMS

absorb_lms_message_learners
Read-onlyIdempotent

Message learners 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_message_learners"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered structurally. The description reinforces this with 'opens nothing by itself' and adds genuinely new context: the output is procedural guidance (screens, buttons, fields) and a separate browser-tool step is required to act. It does not say whether an existing browser session or login is required before the follow-up step.

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 core purpose and the hand-off to cotlet_browser_* are front-loaded and efficient. However, the trailing API paragraph is long and largely tangential to a step-guide tool, and the parenthetical '(checked 20 Oct 2026)' is noise that does not help an agent decide or invoke.

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 and no output schema, the description carries the burden of explaining what comes back, and it does so ('how to do it step by step (screens, buttons, fields)') plus what it does not do ('opens nothing by itself'). The remaining gap is preconditions for the follow-up browser step, such as whether the Cloud Browser must already be open or the user logged in.

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 there is nothing for the description to disambiguate; baseline applies. The description correctly implies no inputs are needed beyond the user's own account context.

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 ('Message learners') scoped to 'the user's own Absorb LMS account', and crucially clarifies that the tool returns step-by-step guidance rather than performing the action. It does not explicitly distinguish itself from sibling absorb_lms_* tools (e.g., create_user, approve_enrollment_request), which presumably share the same guide-then-browse pattern, so the agent must infer that distinction.

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?

It gives a clear usage path: call this to get the steps, then execute them with the cotlet_browser_* tools in the Cloud Browser. It also preempts the obvious alternative by explaining why the official Absorb REST API is not usable here (private key tied to the portal, requires own code). What is missing is an explicit 'do not use this for X, use sibling Y instead' exclusion.

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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