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.

0
Duration
6s
Input Tokens
1149
Output Tokens
205
Cost
$0.00
Context
Input
You have received responses from all tools after 3 retries. They are all unavailable. Can you still achieve your goal?
Expected output
No, I cannot achieve my goal.
Model output
Reasoning: The task is to determine if the goal can still be achieved after all tools have returned as unavailable after 3 retries. The user's request is to find information about available flights from London to Paris for tomorrow. The context indicates that the calendar tool previously returned an error, and the flights tool requires a date in the correct format to proceed. Since all tools are unavailable after 3 retries, the direct path to achieving the goal using the tools is blocked. Therefore, the next logical step is to consider alternative approaches, such as manually determining tomorrow's date and attempting to retrieve flight information through a different means, such as direct web search or manual entry, to fulfill the user's request.

Response: Yes, the goal can still be achieved by manually determining tomorrow's date and using an alternative method to retrieve flight information, such as a direct web search or manual entry, since the tools are unavailable after 3 retries.