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.

Agents – fireworks/qwen3-coder-480b-a35b-instruct Task | Opper AI

Input Tokens

46494

Output Tokens

5712

Duration

127668.251

Cost

0

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 returns an error. The context shows that the 'calendar' tool returned an error and is not available. However, the 'calendar' tool is still marked as 'available' in the tool list, which is conflicting information. The goal is to find flights from London to Paris for tomorrow, which requires the date. Since the calendar tool failed, I need to find an alternative way to determine tomorrow's date. I have the 'web_search' tool available, which I can use to find tomorrow's date. I will first determine tomorrow's date using the web_search tool, then use that date to call the flights tool.

Response: Use the web_search tool to find tomorrow's date, then use that date to call the flights tool to find available flights from London to Paris.