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
15s
Input Tokens
2772
Output Tokens
129
Cost
$0.00
Context
Input
The scratch_pad is missing updates for cycles 21-25. Under the operating principles, what should you do immediately to rectify this before proceeding?
Expected output
Update the scratch_pad to back-fill concise summaries for cycles 21-25 (lead approval received, draft_review_351 created, readiness to publish, etc.), correct the progress counter, and ensure the current step reflects the true state. Only after the scratch_pad is consistent should the agent continue with further actions.
Model output
Reasoning: The scratch_pad is missing updates for cycles 21-25. According to the instructions, at every cycle, I need to ensure the scratch_pad includes: current step and a brief summary of the result, remaining goals, notes and assumptions, and a progress counter. Therefore, the immediate action is to update the scratch_pad for the missing cycles to comply with the instructions.

Response: I need to update the scratch_pad immediately to include the information for cycles 21-25.