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

1331

Output Tokens

350

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: Let me analyze what tools I'll need based on the user request to find the cheapest flights from London to Paris for tomorrow:

1. Analyzing required tools:
   - Need to determine tomorrow's date -> Calendar tool required
   - Need to search flights -> Flights tool required
   - Need to store results -> Memory tool required

2. Specific tool functions needed:
   Calendar tool:
   - get_tomorrow_date: To get tomorrow's date for flight search
   - format_date: May be needed to format the date properly for flight search

   Flights tool:
   - search_flights: To find flights between London and Paris
   - filter_by_price: To sort by price
   - get_cheapest_option: To ensure we get the cheapest options

   Memory tool:
   - store_item: To store the flight search results

3. Tool chain sequence:
   calendar -> flights -> memory

All three available tools will be necessary for this task, each serving a specific purpose in the workflow.

Response: I will need to use all three available tools:

1. Calendar Tool - To get and format tomorrow's date
2. Flights Tool - To search and filter flights between London and Paris
3. Memory Tool - To store the search results

Each tool is essential as they form a logical chain of operations needed to complete the task successfully.