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

1m 33s

Input Tokens

1097

Output Tokens

373

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: The task is to “find the cheapest flights from London to Paris for tomorrow and return the top 3 options.”  
1. First, I need tomorrow’s date → use the **calendar** tool (method: get_tomorrow_date).  
2. With that date, I must search and filter flight data → use the **flights** tool (methods: search_flights, filter_by_price, possibly get_cheapest_option).  
3. Per the operating rules, any meaningful intermediate or final results must be persisted → use the **memory** tool (method: store_item) after each tool call.  
Therefore, to complete the task while following all toolkit rules, I will need:  
• calendar tool  
• flights tool  
• memory tool

Response: I will need to use three tools: calendar (to get tomorrow’s date), flights (to search and obtain the cheapest flights), and memory (to store each intermediate and final result as required).