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.

100
Duration
19s
Input Tokens
1534
Output Tokens
577
Cost
$0.00
Context
Input
The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow. What is the next tool you will call, and why?
Expected output
The next tool is memory, to store the flights tool call result.
Model output
Reasoning: Let me analyze the current situation step by step:

1. **Current State**: The flights.search_flights call has successfully returned 6 available flights from London to Paris for tomorrow (2025-05-29).

2. **User's Goal**: Find the cheapest flights and return the top 3 options.

3. **What's been done**: 
   - Got tomorrow's date (2025-05-29)
   - Retrieved 6 available flights

4. **What needs to be done next**:
   According to the scratch_pad, the planned next step is to "Filter by price and select top 3 cheapest options."

5. **Tool Selection Analysis**:
   - The flights tool has several methods available: 'search_flights', 'filter_by_price', 'sort_by_duration', 'get_cheapest_option', 'get_flight_details'
   - Since we need the cheapest options, I should use 'flights.get_cheapest_option' with max_results=3 to get the top 3 cheapest flights
   - But wait, according to rule #3, I must store meaningful results in memory after every tool call

6. **Immediate Next Action**:
   Before filtering/getting cheapest options, I should first store the 6 flights returned from search_flights in memory (following rule #3). This ensures we don't lose the data and can reference it later if needed.

7. **Therefore**: The next tool call should be **memory.store_item** to save the 6 flights that were just retrieved.

Response: The next tool I will call is **memory.store_item**.

**Why**: According to rule #3 in the instructions, I must "always store meaningful results in memory using the memory tool" after every tool call. Since flights.search_flights just returned 6 available flights, I need to store these results in memory before proceeding to filter for the cheapest options.

I will store the 6 flights with a descriptive key like 'all_london_paris_flights_2025-05-29' to maintain a record of all available options before filtering. After this, I'll proceed to call flights.get_cheapest_option with max_results=3 to identify the top 3 cheapest flights, which I'll also store in memory before presenting to the user.