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

Reset enrollment progress in iSpring Learn (iSpring LMS)

ispring_reset_enrollment_progress
Read-onlyIdempotent

Reset enrollment progress 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_reset_enrollment_progress"
  }
}

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 already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this by stating it 'opens nothing by itself', which prevents the agent from believing a mutation occurred. It also adds useful external context (no official MCP server; REST API limited to Business subscriptions), explaining why browser automation follows.

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 functional content is front-loaded and short, but the full product name 'iSpring Learn (iSpring LMS)' is repeated four times and the 'from ChatGPT, Claude or any AI agent' phrase adds no actionable meaning. Trimming the redundancy would roughly halve the length with no loss.

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?

For a zero-parameter, non-mutating guidance tool with no output schema, the description covers what it returns (step-by-step screens, buttons, fields), what it does not do, and what to do next. Little more is needed.

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?

There are zero parameters, so there is nothing for the description to disambiguate; the baseline for a no-parameter tool applies. The description appropriately spends its words on return behavior instead of parameter detail.

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?

It names a specific verb and resource (reset enrollment progress) and, crucially, clarifies that the tool only returns step-by-step instructions rather than performing the reset itself. That 'guide, not action' distinction differentiates it from action siblings like ispring_cancel_enrollment, though it never names an alternative directly.

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 two-phase workflow: call this to get screens/buttons/fields, then execute with the cotlet_browser_* tools in the Cloud Browser. That is real when-to-use guidance, but there are no exclusions or conditions distinguishing it from other iSpring enrollment tools.

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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