Score text 0 to 100 for chatbot habits like filler, em dashes and buzzwords, each one marked.
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Use when the user asks whether a piece of writing sounds like AI, wants an email, post, essay or cover letter checked for chatbot habits before sending, or wants to know which phrases to fix. Returns a 0-100 score, a verdict, and each habit found (chatbot words like "delve" and "tapestry", "not X, it's Y" framing, em-dash overuse, assistant filler, fake suspense, stiff transitions, markdown leftovers and more) with examples and why readers notice it. It is a habit check, not an AI detector, and short texts give rough scores. Example: {"text": "<the draft to check>"}. To rewrite, use your own judgment on the flagged habits.
The writing to check (up to 60,000 characters).
Pick your client. Values in capitals, like YOUR_TOKEN, are yours to fill in.
claude mcp add --transport http tells https://tells.clawhard.com/mcp
Use when the user asks whether a piece of writing sounds like AI, wants an email, post, essay or cover letter checked for chatbot habits before sending, or wants to know which phrases to fix. Returns a 0-100 score, a verdict, and each habit found (chatbot words like "delve" and "tapestry", "not X, it's Y" framing, em-dash overuse, assistant filler, fake suspense, stiff transitions, markdown leftovers and more) with examples and why readers notice it. It is a habit check, not an AI detector, and short texts give rough scores. Example: {"text": "<the draft to check>"}. To rewrite, use your own judgment on the flagged habits.
| Argument | Type | Description |
|---|---|---|
| text* | string | The writing to check (up to 60,000 characters). |
{
"type": "object",
"required": [
"text"
],
"properties": {
"text": {
"type": "string",
"description": "The writing to check (up to 60,000 characters)."
}
}
}We read every tool's name, description and inputs the way the model will, looking for instructions hidden from you. A clean result means no warning signs, not a guarantee. Scanned Nov 2, 2026.