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

223

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: The user request is to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. To complete this, the agent needs to determine tomorrow’s date, search flights for that route/date, rank or filter the results by price, and store meaningful results after tool calls as required by the instructions.

Response: Needed tools:
1. calendar — to determine tomorrow’s date using get_tomorrow_date or equivalent date method.
2. flights — to search flights from London to Paris for that date, then identify the cheapest/top 3 options using search_flights and likely filter_by_price or related flight methods.
3. memory — required by the instructions to store meaningful results after every tool call, using store_item with clear keys.