Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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: Analyze: The user wants the top 3 cheapest flights for tomorrow LON → PAR. We already called flights.search_flights and received 6 results. According to rule 3, after every tool call we must store meaningful results in memory. Also per rule 1, verify the next tool’s methods/params: memory tool supports store_item with required fields key (string) and value (string). Plan: Store the 6-flight search results immediately with a clear key so we can reference them for subsequent price processing without re-calling the search (rule 4). Act (next): Call memory.store_item with a descriptive key like 'flights_LON_PAR_2025-05-29_results' and value containing the 6 returned flights. Reflect: This satisfies the mandatory memory step, preserves state, and sets up the next operations (derive top-3 cheapest) without redundant queries. Next after that: Evaluate price ordering; given available tools lack a sort_by_price, we will either apply a filter_by_price strategy if thresholds are known or perform client-side ranking if permitted; but first, we must complete the required memory step.

Response: memory.store_item — Because rule 3 mandates storing results in memory after every tool call. I will store the 6 returned flights under a clear key (e.g., 'flights_LON_PAR_2025-05-29_results') so we can proceed to compute the top 3 cheapest without repeating the search.