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

23s

Input Tokens

1203

Output Tokens

2182

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: Step 1: The task requires determining 'tomorrow's date' to search for flights. The calendar tool provides the get_tomorrow_date method for this. Step 2: The task requires searching for flights from London to Paris and identifying the cheapest options. The flights tool provides search_flights, filter_by_price, and get_cheapest_option methods to accomplish this. Step 3: According to instruction #3, I must store meaningful results after every tool call. The memory tool provides the store_item method for this purpose. Step 4: These tools must be chained logically in sequence: calendar → flights → memory (with memory used after each individual tool call). Therefore, all three available tools are necessary to successfully complete the task.

Response: I will need to use all three available tools: the calendar tool (to get tomorrow's date), the flights tool (to search for and identify the cheapest flights from London to Paris), and the memory tool (to store results after each tool call as required by the instructions).