Duration
55s
Input Tokens
3617
Output Tokens
395
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: 1. **Task Analysis**: The user requested the top 3 cheapest flights from London to Paris for tomorrow (2025-05-29). The `flights.search_flights` call has returned 6 available flights. The next logical step is to filter these flights by price to identify the cheapest options.
2. **Tool Justification**: The `flights` tool includes a `filter_by_price` method, which is the most appropriate for sorting the 6 flights by price and selecting the top 3 cheapest. This aligns with the planned trajectory in the context.
3. **Instructions Compliance**:
- Rule 1: The `flights` tool and its methods are already known from the context.
- Rule 3: The results of `filter_by_price` will be stored in memory immediately after retrieval.
- Rule 6: This call logically follows `search_flights`, forming a clear tool chain.
4. **Expected Workflow**:
- Call `flights.filter_by_price` to sort the 6 flights by price (ascending).
- Select the top 3 flights from the sorted list.
- Store these 3 flights in memory under the key `top_3_cheapest_flights_2025_05_29`.
- Present the summary to the user in the final step.
Response: The next tool to call is **`flights.filter_by_price`** with parameters `sort_order: 'ascending'` and `limit: 3`. This will filter the 6 available flights by price and return the top 3 cheapest options, which will then be stored in memory for presentation to the user.