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

1339

Output Tokens

259

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: Understand the user's task - Find the cheapest flights from London to Paris for tomorrow, top 3 options.
Step 2: Analyze available tools:
- Calendar: Needed to retrieve tomorrow's date, as the search requires a specific date.
- Flights: Essential for searching flights between cities on the date, filtering/sorting by price to get the cheapest top 3.
- Memory: Required per instructions to store results after tool calls (e.g., store date, flight results).
Step 3: Logical chain - Use calendar to get date, then flights to search and get options, then memory to store.
Step 4: No other tools needed; these cover date retrieval, flight search, and result storage.
Step 5: All three are necessary for successful completion following the rules.

Response: To successfully complete the task of finding the cheapest flights from London to Paris for tomorrow and returning the top 3 options, I will need to use the following tools:
- Calendar (to get tomorrow's date)
- Flights (to search, filter by price, and retrieve the top 3 cheapest options)
- Memory (to store results after tool calls, as per instructions)