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.

Input Tokens

Output Tokens

Duration

Cost

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 which tools I'll need based on the user request and task workflow:

1. The user request is to find cheapest flights from London to Paris for tomorrow with top 3 options

2. Looking at available tools, I'll need:

a) Calendar Tool
- Required to get tomorrow's date
- Specific methods needed: 'get_tomorrow_date' to determine the travel date
- Also need 'format_date' to ensure date format matches flight tool requirements

b) Flights Tool
- Essential for searching flight options
- Specific methods needed: 'search_flights' to find options
- Will use 'filter_by_price' to get cheapest options
- Need 'get_flight_details' for detailed information

c) Memory Tool
- Required per instruction rule #3 to store results
- Will use 'store_item' to save both the date and flight results

3. The logical chain will be:
Calendar → Flights → Memory

Response: To successfully complete this task, I will need all three available tools:

1. Calendar Tool - To get and format tomorrow's date
2. Flights Tool - To search and filter flight options
3. Memory Tool - To store the results of each tool operation

All these tools are marked as 'status: available' and have the necessary methods to complete the task according to the instructions.