Skip to main content
Glama

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

Add users by email in iSpring Learn (iSpring LMS)

ispring_add_users_by_email
Read-onlyIdempotent

Add users by email 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_add_users_by_email"
  }
}

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, destructiveHint=false and idempotentHint=true, and the description is consistent with them ('opens nothing by itself'). Beyond that it discloses what the response contains (screens, buttons, fields) and the integration constraint that iSpring Learn's REST API is Business-subscription-only with no official MCP server, which explains why a browser-based follow-up is required.

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 key behavioral fact is front-loaded enough to be usable, but the repeated spelling-out of 'iSpring Learn (iSpring LMS)' four times inflates the text without adding information. Trimming the redundant vendor expansions would make the flow guidance easier to scan.

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 output schema, the description carries the burden of explaining the return value, and it does: a step-by-step procedure with screens, buttons and fields. It also names the follow-up tool family needed to actually perform the action. A note on whether the returned steps vary by subscription tier would close the remaining gap.

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 no parameters (empty object schema, additionalProperties: false), so there is nothing for the description to disambiguate. Baseline 4 applies for a zero-parameter tool.

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 makes clear that this tool does not add users itself but returns a step-by-step how-to ('Returns how to do it in iSpring Learn ... step by step (screens, buttons, fields) and opens nothing by itself'). That resolves the ambiguity created by the name/title 'Add users by email'. It could be sharper by leading with 'returns instructions' rather than burying it after the imperative-sounding first clause.

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 explicitly routes the agent: call this to get the procedure, then carry it out with the cotlet_browser_* tools in the Cloud Browser. It does not state exclusions (e.g., skip this if the agent already knows the flow) or name other iSpring siblings, so it stops short of full when/when-not guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources