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

1409

Output Tokens

487

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's task is to interpret the scenario where flights.search_flights has failed twice due to timeout errors, and determine the next action according to the provided model instructions. First, I will analyze the input, context, and instructions. The instructions state important rules, including Rule 2: Max retries for a tool call = 3, with logging and explanation of failures. The tool has failed twice, meaning it has been retried once after the first failure, and there's still one retry remaining (since max is 3). The scratch pad indicates the current step is using flights.search_flights, and the planned next step is filtering by price and selecting top 3 cheapest options. However, the flight search has not succeeded yet. According to Rule 2, I should retry the tool call one more time (since retry count is 2 out of 3). Also, I need to log and explain the failures, which would be part of my reasoning or internal reflection, and proceed with the retry as the next action. I should not abandon the tool call prematurely. Additionally, Rule 3 requires storing meaningful results in memory after every tool call, but since the tool call hasn't succeeded, there's nothing to store yet. I should retry flights.search_flights with the same parameters (from_city='London', to_city='Paris', date='2025-05-29', and perhaps specify max_results to get multiple options). The context shows the tools are available, and the calendar tool has already provided tomorrow's date. Therefore, the next action is to retry the flights.search_flights tool call.

Response: My next action is to retry the flights.search_flights tool call, as per Rule 2 which allows a maximum of 3 retries and the tool has only failed twice. I will call flights.search_flights again with the same parameters: from_city='London', to_city='Paris', date='2025-05-29', and optionally set max_results to a reasonable number (e.g., 10) to ensure sufficient data for filtering. If this third attempt also fails, I will log the failure and consider alternative approaches, such as checking the tool's status or adjusting parameters, but for now, I follow the retry policy.