Duration
1m 20s
Input Tokens
3607
Output Tokens
780
Cost
$0.00
Context
Input
You need to send a follow-up confirmation email exactly two business days from now at 09:00. List the tool sequence and key parameters you would pass to the tool call.Expected output
1 **calendar.get_current_date** → {"action": "get_current_date"}
1b **memory.store_item** → {"action": "store_item", "key": "current_date", "value": "<current_date_result>"}
2 **calendar.add_business_days** → {"action": "add_business_days", "start_date": "<current_date>", "days_to_add": 2}
2b **memory.store_item** → {"action": "store_item", "key": "target_date", "value": "<result_from_add_business_days>"}
3 **calendar.format_date** → {"action": "format_date", "date": "<target_date>T09:00:00", "format": "YYYY-MM-DDTHH:mm:ssZ"}
3b **memory.store_item** → {"action": "store_item", "key": "formatted_send_time", "value": "<formatted_datetime_result>"}
4 **email.draft_email** → {"action": "draft_email", "to": "<customer_email>", "subject": "Address Update Confirmation", "body": "<confirmation_message>"}
4b **memory.store_item** → {"action": "store_item", "key": "draft_id", "value": "<draft_email_id>"}
5 **email.schedule_email** → {"action": "schedule_email", "draft_id": "<draft_id>", "send_at": "<formatted_send_time>"}
5b **memory.store_item** → {"action": "store_item", "key": "scheduled_email", "value": "Email scheduled for <formatted_send_time>"}Model output
Reasoning: Step-by-step thought process:
1. Understand the task: Send a follow-up confirmation email exactly two business days from now at 09:00. This requires calculating the precise future datetime using calendar tools, drafting the email, and scheduling it to send at that time. No specific customer details are provided, so assume customer email is available from the trigger context (new_customer_ticket) or prior memory/database; use a placeholder in params.
2. Identify required tools: calendar for date calculation (get_current_date, add_business_days), email for drafting and scheduling (draft_email, schedule_email). Memory for persisting intermediates per rules (store_item after each key tool). No database/user_input needed as no order/customer ID given and task is generic timing-focused.
3. Plan minimal efficient sequence per rules (minimize calls, atomic actions, chain logically: date calc -> draft -> schedule; interleave memory):
- First, get current date.
- Compute target date (add 2 business days).
- Construct send_at as '{target_date}T09:00:00' (ISO-8601 datetime; assume UTC/local as per system).
- Draft email with customer-friendly content (no raw IDs).
- Schedule the draft.
- Persist outputs to memory after each non-memory tool.
4. Follow rules: Inspect schemas (provided), no retries needed here, no redundancy, efficiency prioritized (4 main tools + 3 memory stores = 7 total calls), communication only via email tool.
5. Key assumptions: Agent constructs send_at string in reasoning from retrieved target_date (LLM capability), customer 'to' from context. Sequence is sequential cycles (one tool per). No escalation needed.
6. Output format: List sequence with tool name, action, and key parameters (using placeholders for dynamic values).
Response: Tool sequence with key parameters:
1. **calendar.get_current_date** (get today's ISO-8601 date)
```json
{"action": "get_current_date"}
```
Then: memory.store_item(key='current_date', value='<output e.g. "2024-04-08">')
2. **calendar.add_business_days** (compute target date, skipping weekends)
```json
{"action": "add_business_days", "start_date": "<retrieved current_date>", "days_to_add": 2}
```
Then: memory.store_item(key='target_date', value='<output e.g. "2024-04-10">')
3. **email.draft_email** (draft follow-up confirmation; use customer-friendly language)
```json
{"action": "draft_email", "to": "customer@example.com", "subject": "Follow-up Confirmation on Your Ticket", "body": "Dear Customer,\n\nThank you for submitting your new ticket. This email confirms we have received it and will follow up soon.\n\nBest regards,\nService Desk"}
```
Then: memory.store_item(key='draft_id', value='<output draft_id>')
4. **email.schedule_email** (schedule for exactly 09:00 on target date)
```json
{"action": "schedule_email", "draft_id": "<retrieved draft_id>", "send_at": "<target_date>T09:00:00"}
```
Then: memory.store_item(key='scheduled_email_id', value='<confirmation output>')
This sequence ensures the email sends precisely two business days from now at 09:00, with all intermediates persisted for traceability.