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

18s

Input Tokens

1097

Output Tokens

481

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 fulfill the user’s request for the cheapest flights from London to Paris tomorrow, I need to: 1) Determine the exact date for "tomorrow"—the calendar tool provides get_tomorrow_date. 2) Search and filter flights using the flights tool. 3) Store intermediate and final results in memory after each tool call. This sequence follows the instructions: first inspect calendar, then call flights, then persist results in memory.

Response: I will use the calendar tool to get tomorrow’s date, the flights tool to search and retrieve the cheapest flight options, and the memory tool to store the results.