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

Input Tokens

1357

Output Tokens

309

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 the next action when a tool call returns an error. From the context, the previous action was calling the 'calendar' tool to get tomorrow's date for the flight search, but it returned an error ('tool not available'). The goal is to find flights from London to Paris for tomorrow using the 'flights' tool, which requires the date in YYYY-MM-DD format. Since the calendar tool failed, I need to handle the error by finding an alternative way to obtain the current date and calculate tomorrow's date. The instructions specify that on error, I should think about the error and decide the next action, with max retries of 3 (this is the first error, so retrying the calendar tool is an option, but since it's marked 'available' yet errored, it might be unreliable). A more direct and effective path is to use the 'web_search' tool to get the current date, as it's available and can provide real-time information. This avoids potential loops with the faulty calendar tool and progresses toward the goal. After obtaining the date, I can calculate tomorrow and call the 'flights' tool. This keeps us on track without unnecessary retries.

Response: Use the 'web_search' tool to query for the current date (e.g., 'What is the current date in YYYY-MM-DD format?'), then calculate tomorrow's date and proceed to call the 'flights' tool with the required parameters.