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

21s

Input Tokens

1097

Output Tokens

2205

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 accomplish finding the cheapest flights for tomorrow and returning the top 3 options, determining tomorrow's date is essential, followed by a flight search for that date, then selecting the top 3 cheapest results. The calendar tool provides date computation, the flights tool performs the search and ranking, and the memory tool ensures results are stored for later steps. I will follow the tool-use guidelines (verify available methods first, cap retries at 3, avoid redundant queries, and use a cycle of analyze-plan-act-reflect).

Response: I will need to use three tools: calendar, flights, and memory. Plan: (1) Use calendar to determine tomorrow's date. (2) Use flights to search London -> Paris on that date and retrieve the top options (cheapest). (3) Use memory to store the results after each tool call (e.g., tomorrow's date, search results, and the top 3 cheapest options) for traceability and reuse.