Opper

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.

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Output Tokens

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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's goal is to find flights from London to Paris for tomorrow. The flights tool requires a date in YYYY-MM-DD, so we must first obtain tomorrow's date. The calendar tool, which provides the date, returned an error despite being marked available—this could be transient. According to the instructions, after a tool error we should think about the error and decide the next action, with up to 3 retries. The most efficient path is: retry the calendar tool once; if it still fails after reasonable retries (max 3), use a fallback that avoids blocking on that tool—either ask the user for the exact travel date or get today's date via web_search and compute tomorrow. Once we have the date, we can call the flights tool, ensuring the date is formatted as YYYY-MM-DD, then store results and present them succinctly.

Response: Do the following:
- Immediate next action: Retry the 'calendar' tool (attempt 1 of up to 3) to get today's date, then compute tomorrow and format it as YYYY-MM-DD.
- If the retry still errors (and up to a total of 3 attempts):
  1) Fallback A (fastest, no dependency): Ask the user to provide the travel date in YYYY-MM-DD (e.g., “Could you confirm the exact date for ‘tomorrow’ in YYYY-MM-DD?”).
  2) Fallback B (autonomous): Use the 'web_search' tool with a query like “current date ISO” or “current date in London ISO”, parse today’s date, compute tomorrow, and format as YYYY-MM-DD.
- Once the date is known: Call the 'flights' tool with { from_city: "London", to_city: "Paris", date: "YYYY-MM-DD" }.
- Store the flight results in working memory and present a concise summary to the user (airline, departure/arrival times, duration, price, and any filters if applicable).