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

11s

Input Tokens

1273

Output Tokens

1502

Cost

$0.01

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 user wants to find flights for 'tomorrow', which requires knowing the current date. The previous attempt to use the 'calendar' tool resulted in an error ('tool not available'). According to the instructions, when a tool returns an error, I must analyze it and decide on the next action, with a limit of 3 retries. Since the error indicates the specific tool might be unavailable, the most efficient path to resolve this is to use an alternative tool that can provide the same information. I will use the 'web_search' tool to find the current date, which will then allow me to determine the date for tomorrow and proceed with the flight search.

Response: Since the 'calendar' tool is currently unavailable, I will use the 'web_search' tool to find today's date. Once I have the date, I will calculate 'tomorrow's' date and use the 'flights' tool to find available flights from London to Paris as requested.