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

1149

Output Tokens

1068

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 previously returned an error indicating it was 'not available', which prevented me from obtaining tomorrow's date. However, the provided 'tools' list explicitly states that the 'calendar' tool's status is 'available'. This contradiction suggests that the previous error might have been transient or an anomaly. According to the instructions, if a tool returns an error, I should think about the error and decide the next action, and I am allowed to repeat a call to a tool up to 3 times. Given the conflicting information, the most direct and logical next step is to retry the 'calendar' tool to verify its availability and retrieve the current date. If it fails again, I will then need to consider an alternative approach, such as using the 'web_search' tool to find the current date.

Response: The 'calendar' tool returned an error 'tool not available' in the previous cycle. However, the tool's status is listed as 'available'. I will retry calling the 'calendar' tool to get tomorrow's date.