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

51s

Input Tokens

1522

Output Tokens

368

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-by-step thought process:
1. Analyze the current state: The user requested the top 3 cheapest flights from London to Paris for 2025-05-29. We called calendar.get_tomorrow_date (got '2025-05-29'), then flights.search_flights (returned 6 flights). Scratch pad confirms: Current step was search_flights; planned next is 'Filter by price and select top 3 cheapest options.' Progress: Step 2 of 4.
2. Review goal: Narrow down 6 flights to top 3 cheapest.
3. Available tools: flights has 'filter_by_price' (ideal for cheapest selection), 'get_cheapest_option' (single), 'sort_by_duration' (not price), etc. filter_by_price logically chains from search_flights to filter results by price.
4. Rules check: No redundant calls (search done). Post-tool storage later (after filter). Chain logically: search → filter → memory.store_item.
5. Plan: Call flights.filter_by_price next to get top 3 cheapest (assumes filters recent search results; params like max_price or top_n if supported, but schema general). Why: Directly fulfills 'cheapest top 3' without redundant search or manual sorting.
6. After filter: Store results in memory as 'top_flights', then summarize for user.
7. Decision: Precise, minimal action per instructions.

Response: Next tool: flights.filter_by_price

Why: The search_flights returned 6 flights, but the user wants the top 3 cheapest. filter_by_price will narrow these down to the cheapest options, aligning with the planned next step in the scratch pad and optimizing for the goal with minimal actions.