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

1103

Output Tokens

230

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 involves handling an error returned by a tool call. The context provided indicates that the calendar tool was called to determine tomorrow's date but returned an error stating that the tool is not available. The current cycle is 3, and the remaining goals are to use the 'flights' tool to get available flights from London to Paris and compile the results for the user. The instructions emphasize understanding the task, thinking through the approach, and executing it systematically. Given that the calendar tool is unavailable, an alternative method to determine tomorrow's date is needed. The instructions allow for retrying a tool call up to 3 times. Since the calendar tool is listed as available in the tools section, the error might be temporary. Thus, the next action should be to retry calling the calendar tool. If it continues to fail, an alternative approach such as calculating tomorrow's date directly or using a different tool should be considered.

Response: Retry calling the calendar tool to determine tomorrow's date. If it fails again, consider an alternative method to calculate tomorrow's date.