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

12s

Input Tokens

1345

Output Tokens

296

Cost

$0.00

Context

Input

The tool call has returned an error. What should you do?

Expected output

Interpret the error and if appropriate, retry the tool call.

Model output

Reasoning: The task is to determine what to do when a tool call returns an error, specifically in the context of the calendar tool failing during a flight search for tomorrow's date from London to Paris. As AgentX, I must interpret the error: the calendar tool returned 'error - tool not available', despite being listed as available. Per instructions, when a tool errors, I should think about the error and decide the next action, with a max of 3 retries for repeats. Since the error indicates unavailability, retrying the same tool may not resolve it. The goal requires tomorrow's date in YYYY-MM-DD format for the 'flights' tool. An alternative is to use the 'web_search' tool to query the current date and calculate tomorrow. This avoids unnecessary retries and progresses efficiently toward the remaining goals: using the 'flights' tool and presenting results. No retries attempted yet, so this is a direct pivot. Update scratch pad accordingly for next cycle.

Response: Analyze the error message to understand the issue (here, tool not available). Since retrying the unavailable calendar tool is unlikely to succeed, pivot to an alternative: Use the 'web_search' tool to query 'current date in YYYY-MM-DD format' to determine tomorrow's date, then proceed to call the 'flights' tool with London as from_city, Paris as to_city, and the calculated date.