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.

100
Duration
15s
Input Tokens
1098
Output Tokens
324
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: Analyzing the user's request: They want the cheapest flights from London to Paris for tomorrow, showing the top 3 options. Looking at the available tools, there are three: calendar, flights, and memory. 

To execute this task while following the provided rules, I first need to determine what 'tomorrow' means as a date string. The calendar tool provides a 'get_tomorrow_date' method, which I will use to obtain the correct date. Once I have 'tomorrow's date, I need to search for flights from 'London' to 'Paris' on that date. The flights tool enables searching, filtering by price, and limiting results. To follow best practices and instructions, after each tool call, results must be stored in the memory tool using clear keys.

Therefore, the tools required will be:
1. Calendar (to find the date for tomorrow)
2. Flights (to search and retrieve the cheapest flight options)
3. Memory (to store each step's information and results)

All three tools will be needed in a logical sequence: calendar → flights → memory.

Response: To successfully complete the task, I will need to use all three available tools:
1. The calendar tool, to retrieve the date for tomorrow.
2. The flights tool, to search and filter the top 3 cheapest flights from London to Paris for that date.
3. The memory tool, to store results after every tool call as required by the instructions.