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

22s

Input Tokens

1183

Output Tokens

727

Cost

$0.00

Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: To find the cheapest flights from London to Paris for tomorrow, I need to determine what 'tomorrow' is, so I'll use the calendar tool's get_tomorrow_date method. Then I'll use the flights tool's search_flights method with from_city='London', to_city='Paris', and the date obtained; then I'll need to sort/filter by price (using filter_by_price or sort methods) to get the top 3 cheapest. Per the agent instructions, I must always store meaningful results in memory after each tool call, so I'll also need the memory tool (store_item). Thus all three tools are required.

Response: The tools needed are: calendar, flights, and memory.