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

1383

Output Tokens

425

Cost

$0.00

Context

Input

You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?

Expected output

Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.

Model output

Reasoning: The user reports that flights.search_flights failed twice due to a timeout error. According to instruction #2, the maximum number of retries for a tool call is 3. Since two attempts have already failed, a third retry is allowed—but only if deemed appropriate after assessment. However, instruction #5 emphasizes working in cycles: analyze, plan, act, reflect, decide. In this case, we should reflect on why the tool keeps failing (e.g., external service issue) and consider alternatives before re-trying blindly. Instruction #4 warns against redundant tool calls. Given that two retries have already failed, a third retry carries high risk and may not succeed. Instead, per instruction #3, we should store what we know (e.g., that two attempts timed out and the target date is 2025-05-29) in memory so that either we or the user can manually intervene or try a different strategy later. Since the tool is not cooperating and retries are exhausted conceptually (we're at 2/3), the best action is to inform the user of the failure and propose next steps. Per the instructions, we must not just retry without analysis. Therefore, the next action is to report the failure and store the status in memory for traceability.

Response: The flights.search_flights tool has timed out twice. According to the rules, I am allowed up to 3 retries, but given that two attempts have already failed, a third retry is unlikely to succeed without changing the underlying issue (e.g., external service availability). I will store this status in memory and recommend pausing this path. I will not proceed with a third retry at this time, per the instruction to avoid redundant tool calls. Stored status: 'Flights search failed twice due to timeouts for 2025-05-29; retry attempted 2/3 times.' User should be informed and asked whether they want to retry once more or try an alternative (e.g., check different dates or manual search).