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.

100
Duration
15s
Input Tokens
1104
Output Tokens
239
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 error occurred during the attempt to use the calendar tool to determine tomorrow's date, which is necessary to query the flights tool. According to the context, the calendar tool is actually listed as 'available', so the error may have been transient or temporary. Following the provided instructions, in case of a tool error, I should consider whether to retry (max 3 times) or select an alternative method if the tool remains unavailable. Since the calendar tool is available and this is likely the first error, the correct approach is to retry the tool call once more to see if the error resolves. If the error persists after 3 attempts, then I should consider using the web_search tool as an alternative to find tomorrow's date or infer tomorrow's date based on any available system information.

Response: You should retry the calendar tool call once, since the error may have been a transient issue and the tool is still listed as available. If the error persists after three attempts, consider using the web_search tool or another available method to obtain the required information. Always track retries and document your decisions in your scratch pad.