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docket.io

docket.io

live Unverified (seed import) AI & Agents 2 tools imperative implementation

Docket’s Demand Agent is an AI marketing tool that ingests sales data, intent signals, and product knowledge to answer B2B website visitors and qualify leads.

First seen 2026-10-12 · Last seen 2026-10-12 · Source: webmcp.com

Answer 1 · Act 1 · Transact 0 · Score: Not yet scored

Tool inspector

docket_ask_website

answer imperative

Ask a question about this company's product, pricing, integrations, security or implementation, and get an answer from the knowledge the company publishes for visitors. Prefer this over reading or scraping the page: it covers the whole site, not just what is on screen. It cannot book meetings or answer about anything other than this company. When a slide or video illustrates the answer, the result says so and carries show_content: this page can put it on the visitor's screen. Offer it to them, and if they want it call docket_open_website_agent with that starting_message. No image is returned and there is no link to render. Every result includes a conversation_id. Pass it back as conversation_id on the visitor's follow-up questions so the answer takes the earlier exchange into account; omit it to start a fresh conversation. An id expires after a period of inactivity: each result says when in conversation_note, and an expired one is replaced automatically with a new conversation_id rather than failing.

Input schema

PropertyTypeRequiredDescription
question string yes One question about this company or its product.
conversation_id string no The conversation_id from this tool's previous result. Pass it to continue the same conversation; omit it to start a new one. If it has expired, the result comes back with a new one to use from then on.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "question": {
      "type": "string",
      "description": "One question about this company or its product.",
      "minLength": 1,
      "maxLength": 500
    },
    "conversation_id": {
      "type": "string",
      "description": "The conversation_id from this tool's previous result. Pass it to continue the same conversation; omit it to start a new one. If it has expired, the result comes back with a new one to use from then on."
    }
  },
  "required": [
    "question"
  ],
  "additionalProperties": false
}

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