Check text for AI-writing style tells
check_ai_slopScore prose 0-100 on human readability by counting six style tells unique to AI writing, including LLM word density and formulaic structures. Get a verdict, sub-scores, and up to six concrete fixes.
Instructions
Score any prose 0-100 on how human it reads (100 = reads human) by counting six families of style tells: LLM word/phrase density, em-dash density, formulaic structures, sentence-length uniformity, lack of specifics, and over-perfect bullet lists. Returns the score, a verdict, per-dimension sub-scores with the raw counts that produced them, and up to 6 concrete fixes. Fully deterministic and local: no LLM call, no network, same input always gives the same number. This measures STYLE, not authorship — it is a tells counter, not an AI detector.
Tool call template
Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.
{
"id": 1,
"jsonrpc": "2.0",
"method": "tools/call",
"params": {
"arguments": {
"text": "<text>"
},
"name": "check_ai_slop"
}
}Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | The prose to score. At least ~200 characters gives a reliable read; shorter text still scores but the sentence-rhythm dimension is skipped. |