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

1534

Output Tokens

342

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: Step 1: Analyze the current state. The user requested the cheapest flights from London to Paris for tomorrow (2025-05-29). The flights.search_flights tool has been called and returned 6 available flights. The trajectory indicates the next planned step is to filter by price and select the top 3 cheapest options.

Step 2: Plan the next action. To fulfill the user's request for the top 3 cheapest options, I need to process the search results. Among the available flights tool methods, 'filter_by_price' is suitable for filtering and selecting the top 3 cheapest, as it aligns with sorting and limiting by price. This avoids redundant calls and optimizes for the goal.

Step 3: Why this tool? The search_flights call provided raw results (6 flights). filter_by_price will narrow it down to the top 3 cheapest without needing additional searches. After this, per rules, I'll store the results in memory using memory.store_item with key 'top_flights' for later summary presentation.

Step 4: Reflect. This chains logically from the previous flights tool call. No retries needed yet, and it's not redundant. Next after this: store in memory, then present to user.

Response: The next tool I will call is flights.filter_by_price. This is because the search_flights call has returned 6 flights, and to meet the user's request for the top 3 cheapest options, I need to filter and select the lowest-priced ones from these results. This method efficiently processes the existing data to identify the top 3 without additional searches.