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.

Duration

Input Tokens

1345

Output Tokens

1248

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: Analyzing the current situation:

1. The `flights.search_flights` call has successfully returned 6 available flights for London to Paris on 2025-05-29.

2. The user's original request was to find the 'cheapest flights' and return the 'top 3 options'.

3. Looking at the available methods in the `flights` tool:
   - `search_flights`: Already completed ✓
   - `filter_by_price`: This can filter flights by price criteria - this seems most relevant for finding cheapest options
   - `sort_by_duration`: Not relevant (we need cheapest, not shortest)
   - `get_cheapest_option`: Might only return 1 cheapest, not top 3
   - `get_flight_details`: Gets details of a specific flight

4. The scratch pad confirms the planned next step is: 'Filter by price and select top 3 cheapest options.'

5. Based on the available methods and the task requirements, `filter_by_price` is the most appropriate method to identify the cheapest flights from the 6 results we have.

Therefore, the next tool to call is the `flights` tool's `filter_by_price` method to filter the search results by price and identify the cheapest options. After this, I'll need to store the top 3 results in memory as required by the instructions.

Response: The next tool I will call is the `flights` tool with the method `filter_by_price`. This is because:

1. We have 6 flight results from the previous `search_flights` call
2. The user specifically requested the 'cheapest flights' and 'top 3 options'
3. `filter_by_price` is the most appropriate method to identify and filter flights based on price criteria
4. This aligns with the planned next step in the scratch pad to 'filter by price and select top 3 cheapest options'

After calling `filter_by_price`, I will store the selected top 3 cheapest options in memory using the `memory` tool with key 'top_flights' as per the planned final step.