Math & Numbers
Step-by-step factor-label unit cancellation with inverted-factor diagnosis and optional student-answer checking.
Call this tool from your code in three languages.
curl -X POST 'https://api.elysiatools.com/en/api/tools/dimensional-analysis-unit-cancellation-tutor' \
-H 'Content-Type: application/json' \
-d '{"startValue":2.5,"startUnit":"mi","targetUnit":"m","factors":"1 mi = 1609.344 m","studentGuess":4023.36,"precision":2,"strictUnits":false}'Send a POST request with your inputs as JSON. File parameters require a separate upload first.
POST https://api.elysiatools.com/en/api/tools/dimensional-analysis-unit-cancellation-tutor| Name | Type | Required | Description |
|---|---|---|---|
| startValue | number | Yes | — |
| startUnit | text | Yes | — |
| targetUnit | text | Yes | — |
| factors | textarea | Yes | — |
| studentGuess | number | No | — |
| precision |
Add this tool to your Model Context Protocol server so AI agents can list and call it.
Add this block to your MCP client configuration:
{
"mcpServers": {
"elysiatools-dimensional-analysis-unit-cancellation-tutor": {
"name": "dimensional-analysis-unit-cancellation-tutor",
"description": "Step-by-step factor-label unit cancellation with inverted-factor diagnosis and optional student-answer checking.",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=dimensional-analysis-unit-cancellation-tutor",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}After connecting to the SSE endpoint, list the exposed tools:
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}Invoke the tool by its id, passing arguments built from its parameters:
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "dimensional-analysis-unit-cancellation-tutor",
"arguments": {
"startValue": 2.5,
"startUnit": "mi",
"targetUnit": "m",
"factors": "1 mi = 1609.344 m",
"studentGuess": 4023.36,
"precision": 2,
"strictUnits": false
}
}
}Questions or issues? Contact [email protected]
| number |
| No |
| — |
| strictUnits | checkbox | No | — |
HTML result
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}