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

1137

Output Tokens

188

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 handle a tool call error and decide the next action. The context indicates that the calendar tool returned an error, which was needed to determine tomorrow's date for the flight search. Since the calendar tool is currently unavailable, I need to find an alternative way to retrieve the date. The flight tool requires the date in YYYY-MM-DD format. Given that the calendar tool is unavailable, I will use the web search tool to find tomorrow's date. Once the date is obtained, I will proceed to use the flight tool to fetch the available flights from London to Paris.

Response: Since the calendar tool is unavailable and returned an error, I will use the web search tool to find tomorrow's date. Once the date is obtained, I will proceed to use the flight tool to fetch the available flights from London to Paris.