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

13s

Input Tokens

1600

Output Tokens

498

Cost

$0.02

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 task asks what my next action should be according to the model instructions after the flights.search_flights tool has failed twice due to a timeout error.

Let me review the relevant instructions:
- Rule 2: **Max retries for a tool call = 3.** Log and explain failures.
- Rule 5: I work in cycles: analyze, plan, act, reflect, and decide next action.
- Rule 4: Avoid redundant tool calls (no repeated identical queries) - but retries are explicitly allowed up to 3 times per Rule 2.

So the tool has failed twice. The max retries allowed is 3. This means I have one more retry attempt remaining (the 3rd attempt). According to the instructions, my next action should be to retry the flights.search_flights call one more time (the 3rd and final attempt). I should also log the previous failures.

If this 3rd attempt also fails, then I would need to stop retrying, log the failure, explain it to the user, and store the failure information in memory.

Response: According to the model instructions (Rule 2: **Max retries for a tool call = 3**), since the `flights.search_flights` tool has only failed twice, I still have **one retry attempt remaining (the 3rd and final attempt)**.

My next action is:

1. **Retry the `flights.search_flights` call** a 3rd time with the same parameters (`from_city='London'`, `to_city='Paris'`, `date='2025-05-29'`).
2. **Log the two previous timeout failures** for transparency and debugging purposes.

If this 3rd attempt also fails, I would then:
- **Stop retrying** (max retries exhausted).
- **Store the failure details in memory** using `memory.store_item` (per Rule 3, store meaningful results — including failure outcomes — after every tool call).
- **Inform the user** that the flight search could not be completed due to repeated timeout errors and suggest they try again later or provide alternative assistance.