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

15s

Input Tokens

1634

Output Tokens

383

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: Reviewing the trajectory and scratch pad shows that every required step has been completed: the email was found, the date extracted, calendar conflicts checked, the event created, and the reminder set. The scratch pad explicitly marks the task as complete (Step 6 of 6). According to the agent’s instructions, when all goals are met we should terminate the process rather than initiate any new tool action.

Response: No further action needed — terminate the task.