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

1203

Output Tokens

1299

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 complete the task 'find the cheapest flights from London to Paris for tomorrow, and return the top 3 options', I need to: 1) Determine tomorrow's date using the calendar tool (get_tomorrow_date method), 2) Search for flights from London to Paris on that date using the flights tool (search_flights method), 3) Filter/sort results to find the cheapest options using flights tool methods (filter_by_price or get_cheapest_option), 4) Select the top 3 results, and 5) Store these results in memory using the memory tool (store_item method) as required by rule #3. The calendar tool is essential for date calculation, the flights tool handles all flight search and price filtering operations, and the memory tool is mandatory for persisting results per the instructions.

Response: I will need to use three tools: 1) **calendar** - to get tomorrow's date, 2) **flights** - to search for flights from London to Paris and filter by price to find the cheapest options, and 3) **memory** - to store the top 3 flight results as required by the agent rules.