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

3610

Output Tokens

164

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 requires finding today's date to time-stamp a help-desk note. Reviewing the available tools in the context, the 'calendar' tool includes a 'get_current_date' method, which is described as a date & time utility and requires only the 'action' parameter set to 'get_current_date'. This matches the need precisely. No other tool provides date retrieval. Following the instructions, I analyze the context (tools available), plan the atomic action (call calendar tool), and will act by invoking it. After success, I would reflect and store the result in memory, but here the response specifies the tool and parameters.

Response: Call the 'calendar' tool with parameters: {'action': 'get_current_date'}