Tour Booking

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name: tour-booking description: Sub-agent for outbound listing-office calls to request and confirm property showing slots using a provided call script and structured payloads. Use when a parent workflow needs call execution for one or more listings, including dry-run payload generation, live ElevenLabs call requests, and parsing call outcomes into booking statuses.

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Tour Booking

Overview

Handle the call execution layer for property showing bookings: 1. Build a consistent call prompt from listing and client data. 2. Send outbound call request to ElevenLabs (or dry-run). 3. Normalize call outcome into structured status fields.

Inputs

Each call job should include:

job_id

client_name

listing.address

listing.office_phone

preferred_windows_text

timezone

Runbook

1) Build payload

python3 scripts/prepare_call_payload.py \
  --job /tmp/job.json \
  --output /tmp/call-payload.json

2) Place call

Dry-run (default safe mode):

python3 scripts/place_outbound_call.py \
  --payload /tmp/call-payload.json \
  --output /tmp/call-result.json \
  --dry-run

Live mode:

python3 scripts/place_outbound_call.py \
  --payload /tmp/call-payload.json \
  --output /tmp/call-result.json \
  --live

3) Parse outcome

python3 scripts/parse_call_result.py \
  --input /tmp/call-result.json \
  --output /tmp/booking-outcome.json

Call Guardrails

State clearly that the caller is an AI assistant calling on behalf of the realtor.

Ask for available slots inside the requested window first; request alternatives if unavailable.

Confirm final slot with exact date and local time before ending the call.

If the office cannot confirm, mark as pending_callback and capture callback requirements.