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.

Duration

21s

Input Tokens

1319

Output Tokens

2057

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 previous action, calling the 'calendar' tool, failed with the error 'tool not available'. The agent's goal is to find flights for 'tomorrow', which requires knowing the specific date in YYYY-MM-DD format. Although the instructions allow for up to 3 retries, the error message 'tool not available' suggests a potential systemic issue with that specific tool rather than a transient network error. To act most efficiently and avoid potential loops with a broken tool, the 'most direct and effective path' is to switch strategies. The 'web_search' tool is available and can easily retrieve the current date. Therefore, I will use the 'web_search' tool to find today's date to calculate the date for tomorrow.

Response: Action: Call 'web_search' tool with arguments: {'query': 'current date and date of tomorrow'}