Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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 task is to determine the next action when a tool call returns an error. The context provided indicates that the calendar tool returned an error. The user's request was to find information about available flights from London to Paris for tomorrow. The first step was to determine tomorrow's date using the calendar tool. Since the calendar tool returned an error, we need to think about the next action. The instructions suggest that if a tool returns an error, we should think about the error and decide the next action. We can either retry the tool call or find an alternative method to achieve the goal. Given that the calendar tool is used to retrieve the current date, we can consider alternative ways to determine tomorrow's date, such as using a web search or directly calculating it if today's date is known.

Response: Since the calendar tool returned an error, we should first try to determine tomorrow's date using an alternative method. We can use the web search tool to find today's date and then calculate tomorrow's date. Once we have tomorrow's date, we can proceed to use the flights tool to find available flights from London to Paris for that date.