Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

0
Duration
30s
Input Tokens
2422
Output Tokens
478
Cost
$0.00
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: To schedule the three follow-up reminders efficiently, we can take advantage of the parallel execution capability and leverage the 'calendar' tool from the context. Here's the step-by-step approach: 

1. **Inspect Requirements:** The task requires scheduling reminders for tomorrow, five business days later, and exactly two weeks later. 

2. **Analyze Available Methods:** From the context, the 'calendar' tool provides methods like 'get_current_date', 'add_business_days', and 'schedule_reminder'. The instructions also allow for parallel tool calls, which we will use to schedule reminders independently.

3. **Plan the Task:** 
   - First, determine the current date using the 'get_current_date' method.
   - Schedule the first reminder for tomorrow by adding one day to the current date.
   - For the second reminder, add five business days to the current date using the 'add_business_days' method.
   - For the third reminder, add 14 days to the current date.

4. **Execute the Task:** 
   - Call 'get_current_date' to retrieve today's date.
   - Simultaneously, in parallel, schedule reminders directly using 'schedule_reminder' with calculated dates.
   - Example tool call for scheduling reminders would include providing the calculated date and a suitable description for each reminder.

5. **Reflect and Log Results:** After scheduling, verify each operation's success and store each scheduled reminder's confirmation in memory for traceability using 'store_item'.

By executing these steps using parallel processing capabilities, we are optimizing the process while maintaining traceability through memory logging.

Response: To schedule the reminders, I'll make the following tool calls: 

1. Use the 'calendar' tool to call 'get_current_date' to determine today's date.

2. In parallel:
   - Call 'schedule_reminder' with tomorrow's date.
   - Call 'schedule_reminder' with the date five business days later (calculated using 'add_business_days' method).
   - Call 'schedule_reminder' with the date exactly two weeks later.

All results will be individually stored in memory using 'store_item'.