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

14s

Input Tokens

3364

Output Tokens

161

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 task requiring the current date for timestamping a help-desk note aligns with using the 'calendar' tool, which offers date & time utilities. The appropriate method is 'get_current_date' with no additional parameters needed. Following the defined approach, I plan to invoke the 'calendar' tool’s 'get_current_date' action to retrieve today's date, which I will then use to timestamp the note accordingly. Since the instructions emphasize systematic execution and following the cycle structure, I will first analyze the context, plan the call, then execute, reflect, and proceed accordingly.

Response: Call the 'calendar' tool with the 'get_current_date' action to obtain today's date for timestamping the help-desk note.