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.

50
Duration
10s
Input Tokens
1105
Output Tokens
1241
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 returned an error ('tool not available') even though it's listed as available. Since we need tomorrow's date in YYYY-MM-DD format to search for flights, we need an alternative approach. Based on the instructions, when there's a tool error, I should think about the error and decide the best next action. I can either retry the calendar tool up to 3 times or use another available tool. The web_search tool is available and working, so I'll use it to find the current date information, then calculate tomorrow's date. This avoids potential issues with the calendar tool and allows us to proceed efficiently with the user's request.

Response: I'll use the web_search tool to find today's date information, then calculate tomorrow's date for the flight search. This allows us to overcome the calendar tool error and still provide the user with the flight information they requested London to Paris.