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
236
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 tool call returned an error, indicating that the flight search could not be performed at this moment. Since the main task is to find available flights from London to Paris, and the 'flights' tool has already been attempted but failed, I should consider alternative steps. The errors might be due to temporary issues or incorrect parameters. First, I will verify that the parameters provided, especially the date, are correctly formatted as 'YYYY-MM-DD'. If the date is appropriately formatted, the next step would be to retry calling the 'flights' tool, as the issue might be transient. If the retry also fails, I might resort to using the 'web_search' tool to find information or check for system status updates. For now, the immediate course of action is to attempt reusing the 'flights' tool with verified parameters, since it is the most relevant tool to retrieve the required flight information.

Response: Retry the 'flights' tool with confirmed correct parameters, including a properly formatted date. If it still fails, consider alternative methods like web search or reporting the issue.