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.

100
Duration
26s
Input Tokens
1103
Output Tokens
749
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 last action (calling the calendar tool) failed with the message "tool not available." According to the operating rules:
1. Whenever a tool returns an error, the agent must pause, analyse the error, and decide the best next step.
2. The agent may retry a failed tool call up to three times if there is a chance the failure was transient.
3. If repeated retries still fail, the agent should fall back to an alternative strategy (e.g., derive the needed information internally or ask the user for it).

In this scenario, the calendar tool is required only to obtain tomorrow’s date so we can feed the correct YYYY-MM-DD value into the flights tool. Because we have attempted the calendar tool only once, the simplest, most direct next step is to retry that tool. If the second attempt also fails, we can:
• Compute tomorrow’s date internally (using current system date knowledge) OR
• Ask the user to confirm tomorrow’s date manually.

Thus, the immediate correct action is a retry of the calendar tool (attempt #2 of up to 3).

Response: Retry the calendar tool once more to obtain tomorrow’s date; if it fails again, switch to a fallback (internal date calculation or ask the user).