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

3428

Output Tokens

150

Cost

$0.00

Context

Input

You must find today's date so you can time-stamp a help-desk note. Which tool do you call and with what parameters?

Expected output

Use the **calendar** tool with parameters {"action": "get_current_date"}.

Model output

Reasoning: The user's task is to find today's date for a help-desk note. The calendar tool has a get_current_date method that requires no parameters, making it the ideal choice for this task. Following the cycle structure, I will analyze the context, plan to call get_current_date, act by invoking the tool, reflect on the result, and then decide the next action. The result will be stored in memory as per the memory discipline rule.

Response: To find today's date for the help-desk note, I will call the calendar tool with the action 'get_current_date'. This method requires no parameters and will provide the current date needed for the timestamp.