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
18s
Input Tokens
1534
Output Tokens
587
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 Context**: The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow (2025-05-29).

2. **User's Original Request**: Find the cheapest flights from London to Paris for tomorrow and return the top 3 options.

3. **Progress Analysis**: According to the scratch pad, we're at step 2 of 4:
   - Step 1 (completed): Get tomorrow's date
   - Step 2 (just completed): Search for flights
   - Planned Step 3: Filter by price and select top 3 cheapest options
   - Final Step 4: Store results and present to user

4. **Available Tools**: I have access to flights, calendar, and memory tools. The flights tool has methods including 'filter_by_price' and 'get_cheapest_option'.

5. **Next Logical Action**: Since we now have 6 flights and need the top 3 cheapest options, I should use the flights tool to filter and get the cheapest options.

6. **Following Instructions**: Rule #3 states I should store meaningful results in memory after every tool call, so I should also store the flight search results before proceeding to filter them.

Based on this analysis, I need to first store the current flight search results in memory (following rule #3), then use the flights tool to get the cheapest options.

Response: The next tool I will call is **memory.store_item** to store the flight search results that were just returned.

**Why this tool:**
1. **Following Rule #3**: The instructions explicitly state "Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."
2. **Preserving Data**: The flights.search_flights call just returned 6 available flights, which is meaningful data that should be stored before proceeding.
3. **Logical Workflow**: After storing the results, I'll then call flights.filter_by_price or flights.get_cheapest_option to identify the top 3 cheapest flights as requested by the user.

The memory.store_item call will use a key like 'flight_search_results' and store the 6 flights data, then I'll proceed with filtering to get the top 3 cheapest options as outlined in the planned next step.