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

19s

Input Tokens

1273

Output Tokens

544

Cost

$0.01

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: Based on the instructions, when a tool returns an error, my immediate next action is to think about the error and decide on the next steps. The context shows that the 'calendar' tool returned 'error - tool not available', but the current tools list shows its status as 'available'. The instructions also explicitly state that I can retry a tool call up to 3 times. Therefore, the logical approach is to retry calling the calendar tool to get tomorrow's date. If it fails again after 3 retries, I should use a fallback like the 'web_search' tool to find out the current date.

Response: Since the `calendar` tool returned an error, your next action is to think about the error and decide the next action. According to your instructions, you are allowed to retry a tool call up to 3 times. You should retry the `calendar` tool to get tomorrow's date. If it continues to fail after the maximum retries, you should pivot and use the `web_search` tool to determine the date for tomorrow before proceeding to call the `flights` tool.