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

Input Tokens

1185

Output Tokens

313

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 user requested flights from London to Paris for tomorrow, but the calendar tool returned an error. In the current cycle (cycle 3), the system has already attempted to use the calendar tool to determine tomorrow's date, and failed. The user’s goal remains to find available flights. The next logical step is to directly use the 'flights' tool — but it requires a date in YYYY-MM-DD format. Since the calendar tool failed, I cannot assume tomorrow’s date. Instead, I can infer today’s date from the context if possible, or estimate. However, if the calendar tool is unavailable, and no date is known, I must consider alternatives. But note: the 'flights' tool requires a date, and no fallback is provided. Since retries on calendar are disallowed (calendar failed once), and max retries is 3 (for any tool), and we’re at cycle 3, perhaps another strategy is needed: use a web search to find tomorrow’s date (e.g., 'what date is tomorrow') and then use that. Web search is available and fits the error-recovery path. So step: call web_search with query 'date of tomorrow in YYYY-MM-DD format' to get the required date, then call flights.

Response: Since the calendar tool returned an error, and the flights tool requires a date, I will use the web_search tool to determine tomorrow’s date in YYYY-MM-DD format. Then I will call the flights tool with the correct date.