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

11s

Input Tokens

1128

Output Tokens

803

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 requires analyzing available tools to determine which are needed to find cheap flights from London to Paris for tomorrow, return top 3 options. Required steps:
1. Calendar Tool: Confirm tomorrow's date (using get_tomorrow_date) for flight search
2. Flights Tool: Search flights (search_flights), filter by price (filter_by_price), retrieve top 3 results
3. Memory Tool: Store intermediate results (flight data) between steps as per rule #3
No redundant calls needed since context already provides available tools. Core functionality resides in flights tool + date confirmation via calendar. Memory tool required for maintaining intermediate state between operations.

Response: {
  "required_tools": [
    {
      "tool": "calendar",
      "methods": ["get_tomorrow_date"]
    },
    {
      "tool": "flights",
      "methods": ["search_flights", "filter_by_price"]
    },
    {
      "tool": "memory",
      "methods": ["store_item"]
    }
  ]
}