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

24s

Input Tokens

1168

Output Tokens

265

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 task is to determine what to do when a tool call has returned an error. The context shows that the calendar tool returned an error - tool not available during the second cycle. The user's original request was to find flights from London to Paris for tomorrow. The current cycle is 3, and the scratch pad indicates we're at step 2 of 4. The error occurred when trying to determine tomorrow's date using the calendar tool. According to the instructions, when a tool returns an error, I should think about the error and decide the next action. The instructions also mention that I can repeat a call to a tool with max retries 3 times. Since this is the second cycle and the calendar tool is showing as 'available' in the tools list, I should retry the calendar tool call to get tomorrow's date. After that, I can proceed with the flights tool search.

Response: The calendar tool returned an error during the previous cycle when trying to determine tomorrow's date. Since this is the second cycle and the calendar tool is available, I will retry calling the calendar tool to get tomorrow's date. After obtaining the correct date, I will proceed to use the flights tool to search for available flights from London to Paris.