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
15s
Input Tokens
1149
Output Tokens
1086
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: 1. Core task remains achievable through alternative methods despite tool limitations. 2. Calendar Tool failure prevents date confirmation, but tomorrow's date can be manually calculated (current day +1 day, using system knowledge common date formats). 3. Critical required fields for flights tool (from_city=London, to_city=Paris, date=manually determined YYYY-MM-DD) can still be populated. 4. Proceeding to flights tool with inferred date, then format results properly.

Response: YES, goal remains achievable. Alternate approach: [1] Assume 'tomorrow's date' using common date logic (current day +1 day if UTC time < 23:59) [2] Execute flights tool with inferred date: CALL flights {'from_city':'London','to_city':'Paris','date':<calculated_date>} [3] Present results with disclaimer about date assumption