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

Output Tokens

173

Cost

$0.04

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 is to find today's date. The calendar tool has a get_current_date method that requires no additional parameters beyond the action.

Response: Call the `calendar` tool with parameters: {"action": "get_current_date"}. This invokes the calendar.get_current_date method, which requires no additional parameters and returns today's date (ISO-8601) for time-stamping the help-desk note. After the call succeeds, persist the result via memory.store_item (e.g., key: "today_date").