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

1098

Output Tokens

280

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 identify which available tools are necessary to complete the user's request to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. The context lists three available tools: calendar, flights, and memory. 

1. Calendar tool: Needed to get the date for tomorrow, since the flight search requires a date parameter.
2. Flights tool: Essential to perform the search for flights with filtering and sorting capabilities to find the cheapest options.
3. Memory tool: Required to store the results of each tool call meaningfully, as per the instructions to always store meaningful results in memory.

Therefore, all three tools are needed in a logical sequence: first, use the calendar to get tomorrow's date; second, use the flights tool to search for flights on that date with the given source and destination; third, use the memory tool to store the intermediate and final results.

This approach respects the instructions of method discovery, retry limits, memory usage, avoiding redundant calls, and tool chaining.

Response: The tools needed to successfully complete the task are: the calendar tool (to get the date tomorrow), the flights tool (to search, filter, and retrieve flight information), and the memory tool (to store meaningful results after each tool call).