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.

100
Duration
1m 32s
Input Tokens
1277
Output Tokens
432
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: Step 1: Read the task carefully. The task is to determine the next action after attempting to call flights.search_flights, which failed twice due to timeout errors.

Step 2: Review the instructions. Key rule: Max retries for a tool call = 3. Log and explain failures. The agent works in cycles: analyze, plan, act, reflect, decide next. Optimize for minimal, effective actions. Avoid redundant tool calls.

Step 3: Analyze the situation. The current step from the scratch_pad is to use flights.search_flights to retrieve flights from London to Paris for 2025-05-29. It has failed twice due to timeout. Since the max retries is 3, and only 2 failures have occurred, one more retry is allowed before reaching the limit. The failures should be logged and explained, but the primary next action is to retry to complete the current step. The call should include all required parameters (from_city, to_city, date) based on the provided params_schema. To optimize and potentially avoid another timeout, consider including max_results (e.g., 50) if the timeout is due to retrieving too many results, but since the instructions emphasize following the plan and retrying, stick to retrying the call. This is not redundant as previous calls failed, and success is needed to progress.

Step 4: Plan the next action. Retry the tool call for the third time, logging the previous failures in reasoning. If this fails, that would be the third failure, requiring explanation and potentially alternative approaches or informing the user.

Step 5: Decide. The next action is to retry calling flights.search_flights with the necessary parameters.

Response: Retry calling the flights.search_flights tool with parameters: from_city='London', to_city='Paris', date='2025-05-29'. Note: Previous two attempts failed due to timeout errors, possibly due to high volume of results or server issues; this is the third and final attempt per max retries rule.