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

17s

Input Tokens

1290

Output Tokens

471

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 fulfill the user request 'find the cheapest flights from London to Paris for tomorrow, and return the top 3 options', I need to determine the exact date for 'tomorrow', search for flights on that date between the specified cities, and store the results. Based on the available tools: 1. The 'calendar' tool is needed to find the date for tomorrow. 2. The 'flights' tool is needed to search for flights from London to Paris on that specific date and get the cheapest options. 3. The 'memory' tool is needed to store the results after every tool call, as explicitly required by Rule 3 in the instructions.

Response: To successfully complete this task, you will need to use the following tools:

1. **calendar**: To determine the exact date for "tomorrow" (using the `get_tomorrow_date` method).
2. **flights**: To search for flights from London to Paris on the retrieved date and filter for the top 3 cheapest options.
3. **memory**: To store the intermediate and final results (such as tomorrow's date and the flight options) to comply with the instruction to always store meaningful results after every tool call.