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
14s
Input Tokens
3353
Output Tokens
156
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 is designed for date and time utilities. It includes a method 'get_current_date' which retrieves the current date and requires no additional parameters beyond the action itself. Other tools like database, email, user_input, and memory do not provide direct access to the current date. Following the instructions, I analyze the context, plan to use the most efficient tool without redundancy, and act by specifying the precise tool call. This is the atomic action needed.

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