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

44211

Output Tokens

15518

Duration

439784.924

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 error from the tool call indicates that the previous action (calling the calendar tool) failed. According to the instructions, when a tool returns an error, the agent should analyze the error, consider whether the tool can be retried (up to 3 times), and then decide the next logical step. In this context, since the calendar tool returned an error, the next steps are to assess the error’s cause, adjust the parameters if needed, and then either retry the tool call if the retry limit has not been reached or move to an alternative tool if necessary. Considering our goal is to ultimately use the 'flights' tool to get flight information, ensuring that the date is correctly formatted is essential. Thus, the immediate response is to reattempt retrieving the current date via the calendar tool (or use an alternative method if the error persists) before proceeding to call the flights tool.

Response: Review the error details, then attempt to call the calendar tool again (if retry limit not reached) or use an alternative method to obtain the correct date. Once the current date is successfully retrieved, proceed with the flight search using the correct date format.