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Context
Input
You want to schedule three follow-up reminders:
• One for tomorrow,
• One for five business days later,
• One exactly two weeks later.
You are allowed to call tools in parallel, as they run in the cloud. What tool calls will you make?
Expected output
First: Call **calendar.get_current_date** → {"action": "get_current_date"} and persist result as "today".
In Parallel:
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 1}
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 5}
• **calendar.add_business_days** → {"action": "add_business_days", "start_date": "today", "days_to_add": 14}
Next: For each result, persist separately using **memory.store_item** with keys like "date_plus_1", "date_plus_5", "date_plus_14".
Then: For each stored date, call **calendar.schedule_reminder** with {"action": "schedule_reminder", "date": "<calculated_date>", "reminder_text": "Follow-up"}.
Finally: Persist each reminder result separately using **memory.store_item** with keys like "reminder_tomorrow", "reminder_5bdays", "reminder_2wks".
Model output
Reasoning: The task is to schedule three follow-up reminders for a new customer ticket: one for tomorrow (1 calendar day later), one for five business days later, and one exactly two weeks later (14 calendar days later). I have access to the calendar tool for date utilities and reminder scheduling. To accomplish this, I need to first obtain the current date. I will call 'get_current_date' and store it in memory. Then, for the five business days reminder, I will use 'add_business_days' to compute the date and store it. For the tomorrow and two weeks reminders, since there is no direct tool for adding calendar days, I will compute them in my reasoning by parsing the current date and adding 1 day and 14 days respectively (as an AI, I can perform simple date arithmetic). Finally, I will call 'schedule_reminder' three times, once for each computed date, with a message like 'Follow up on new customer ticket'. To leverage parallel execution for independent calls, after storing the current date, I can compute the dates and issue the three 'schedule_reminder' calls in parallel in a single cycle. I will also store the results of each schedule call in memory if they return salient data (e.g., reminder ID). This minimizes tool calls while following rules: no redundancy, persist after tool calls, efficiency. Assuming 'schedule_reminder' params include 'datetime' (ISO-8601) and 'message', and 'add_business_days' takes 'start_date' and 'days'.
Response: I will make the following tool calls:
1. calendar tool: {"action": "get_current_date"}
2. memory tool: {"key": "current_date", "value": "[result of get_current_date]"}
3. calendar tool: {"action": "add_business_days", "start_date": "[current_date from memory]", "days": 5}
4. memory tool: {"key": "business_date", "value": "[result of add_business_days]"}
5. calendar tool: {"action": "schedule_reminder", "datetime": "[computed tomorrow: current_date + 1 day]", "message": "Follow up on new customer ticket"}
6. calendar tool: {"action": "schedule_reminder", "datetime": "[business_date from memory]", "message": "Follow up on new customer ticket"}
7. calendar tool: {"action": "schedule_reminder", "datetime": "[computed two weeks: current_date + 14 days]", "message": "Follow up on new customer ticket"}
The calls 5, 6, and 7 can be issued in parallel after the dates are available.