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iSpring Learn (iSpring LMS) MCP Server and API by Cotlet

List enrollments in iSpring Learn (iSpring LMS)

ispring_list_enrollments
Read-onlyIdempotent

List enrollments in the user's own iSpring Learn (iSpring LMS) account from ChatGPT, Claude or any AI agent. Returns how to do it in iSpring Learn (iSpring LMS) step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's iSpring Learn (iSpring LMS) Cloud Browser. iSpring Learn (iSpring LMS)'s official API: iSpring Learn has a REST API, but only with the Business subscription, and no official MCP server (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": "ispring_list_enrollments"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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. The description adds genuinely new behavioral context beyond them: the tool 'opens nothing by itself' and only returns procedural guidance, which prevents an agent from assuming a side effect occurred. It does not describe the shape or length of the returned guide, keeping it below 5.

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 message (returns instructions, opens nothing, then use browser tools) is front-loaded and useful, but the text is padded with repeated 'iSpring Learn (iSpring LMS)' expansions and API/subscription trivia that does not help an agent decide or invoke. Trimming the parenthetical repetition and the MCP-server aside would sharpen it considerably.

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 no output schema, the description carries the burden of explaining what comes back; it says 'step by step (screens, buttons, fields)' but not the format, granularity, or whether it covers filtering by course/user. For a zero-parameter guidance tool this is adequate but leaves real gaps about the returned content.

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 no parameter semantics to explain and the baseline of 4 applies. The description correctly implies no inputs are needed to obtain the guidance.

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 resource (enrollments in the user's iSpring Learn account) and, crucially, clarifies that the tool returns step-by-step instructions rather than data, which corrects the misleading 'List' verb in the name. It does not differentiate from siblings such as ispring_list_courses or ispring_get_learner_progress_report, so it stops short of a 5.

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 a clear follow-on path: call this, then perform the action with cotlet_browser_* tools in the Cloud Browser. However, it never says when to prefer this over sibling tools like ispring_list_courses, nor any when-not conditions, so usage is only implied.

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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