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LearnWorlds MCP Server and API by Cotlet

List course learners in LearnWorlds

learnworlds_list_course_learners
Read-onlyIdempotent

List course learners in the user's own LearnWorlds account from ChatGPT, Claude or any AI agent. Returns how to do it in LearnWorlds step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's LearnWorlds Cloud Browser. LearnWorlds's official API: LearnWorlds has a REST API (v2) for courses, users, bundles, subscriptions, promotions, payments and certifications, but it comes with the Learning Center plan and higher, and you need your own code to use it (checked 5 Nov 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": "learnworlds_list_course_learners"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior4/5

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

With readOnlyHint=true and openWorldHint=false already declared, the description still adds substantive context: 'opens nothing by itself' clarifies that no page is loaded or mutated, and the closing note discloses a plan-level and implementation constraint on the official API. What is missing is any statement of the response shape — length, format, or whether the step text is account-specific.

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?

Two core sentences set up the behavior and the follow-up browser action, with the API caveat placed last as a supporting note rather than up front. The API sentence is long and only indirectly relevant to invoking this no-argument tool, but it does justify the tool's existence, so it mostly earns its place.

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?

For a zero-parameter, read-only tool with annotations and no output schema, the definition covers the essential mechanics and the next step. It still leaves the deliverable underspecified — nothing says whether the returned steps are account-specific or generic, or how an agent should handle an empty or failed lookup — and the name-versus-behavior mismatch remains unresolved.

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 schema has zero parameters and additionalProperties is false, so there is nothing for the description to disambiguate; the baseline for a no-argument tool applies. The description correctly implies the call is scoped implicitly to 'the user's own LearnWorlds account' rather than a passed-in account or course identifier.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description does state what actually happens — 'Returns how to do it in LearnWorlds step by step (screens, buttons, fields) and opens nothing by itself' — which is a specific, verifiable behavior. But it is framed under the name/title 'List course learners', implying a data-retrieval call, so the real purpose (returning an operational how-to guide) arrives only after a misleading opening clause. An agent cannot tell from the first sentence whether it will get learner records or instructions, and it is not differentiated from the sibling learnworlds_list_users.

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?

There is real routing guidance: use this for the steps, 'then do it with the cotlet_browser_* tools in the user's LearnWorlds Cloud Browser', which tells the agent the follow-up action. It also notes the official REST API v2 requires the Learning Center plan and your own code, implying why this path is offered. However, it never says when NOT to use this tool, and gives no criteria for choosing it over learnworlds_list_users or the browser tools directly.

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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