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

13s

Input Tokens

1635

Output Tokens

837

Cost

$0.00

Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: After analyzing the trajectory and scratch pad, I can see that the task has already been completed successfully. The trajectory shows that the agent has: 1) received the user's request for a reminder, 2) searched for and found the relevant email, 3) extracted the event date (2025-06-15), 4) checked for calendar conflicts (none found), and 5) created the calendar event with a reminder set for 2 days before. The scratch pad explicitly states 'Task complete' and indicates this is step 6 of 6. According to the instructions, once a task is complete, the process should be terminated with no need to notify the user.

Response: The task is already complete. No further action is needed.