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

Input Tokens

1121

Output Tokens

124

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 calendar tool returned an error, but it is required to determine tomorrow's date for the flight search. Since the instructions allow for up to 3 retries on tool calls, I will retry the calendar tool call to obtain the necessary date information. If this fails again, I will consider alternative methods such as using the web_search tool to infer tomorrow's date. For now, the most direct and logical action is to retry the calendar tool.

Response: Retrying the calendar tool to get tomorrow's date for the flight search.