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
15s
Input Tokens
1647
Output Tokens
671
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 Analysis:**
   - The user requested: Find the cheapest flights from London to Paris for tomorrow and return the top 3 options
   - Tomorrow's date was determined: 2025-05-29
   - flights.search_flights has been called and returned 6 available flights
   - Current progress: Step 2 of 4

2. **What We Have:**
   - 6 flight results from the search
   - The user specifically wants the CHEAPEST flights
   - Need to return TOP 3 options

3. **What We Need to Do Next:**
   - According to the scratch pad plan: "Filter by price and select top 3 cheapest options"
   - The flights tool has methods available: 'filter_by_price', 'sort_by_duration', 'get_cheapest_option', 'get_flight_details'

4. **Applying the Rules:**
   - Rule 3 states: Always store meaningful results in memory after every tool call
   - We just completed flights.search_flights but haven't stored those results yet
   - However, the logical next step is to process these flights to get the cheapest ones before storing

5. **Tool Selection Logic:**
   - We have 6 flights and need the top 3 cheapest
   - The flights tool has 'filter_by_price' method which is perfect for this task
   - This will allow us to sort/filter by price and get the cheapest options

6. **Why This Tool:**
   - 'filter_by_price' is the most appropriate method to identify the cheapest flights from the 6 results
   - This aligns with the user's specific requirement for "cheapest flights"
   - After filtering, we can then store the top 3 in memory as planned

Response: The next tool I will call is **flights.filter_by_price**.

**Why:** The flights.search_flights call has returned 6 available flights, but the user specifically requested the CHEAPEST flights and wants the top 3 options. The filter_by_price method will allow me to sort these 6 flights by price in ascending order and select the top 3 cheapest options. This directly addresses the user's requirement and follows the planned trajectory in the scratch pad: "Filter by price and select top 3 cheapest options."

After calling flights.filter_by_price with max_results=3, I will then store these top 3 cheapest flights in memory using memory.store_item with key 'top_flights' as indicated in the plan, before presenting the final summary to the user.