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

Input Tokens

1160

Output Tokens

242

Cost

$0.01

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 and return the top 3 options, we need (1) determine the correct date for “tomorrow” and (2) search flights and rank/filter by price. The calendar tool is needed to get tomorrow’s date in the required format for flight search. The flights tool is needed to search and then filter/sort to obtain the three cheapest results. Per instructions, meaningful results after each tool call must be stored, so the memory tool is also needed to store the resolved date, the raw flight search results, and the final top-3 cheapest options. No other tools are required.

Response: You will need these tools:
1) **calendar** — to get **tomorrow’s date** (used before flight search).
2) **flights** — to **search flights London → Paris for that date** and obtain the **top 3 cheapest** options (via filtering/sorting).
3) **memory** — to **store results after each tool call** (e.g., tomorrow’s date, flight search results, final top-3 list).