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

1646

Output Tokens

531

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: Let me analyze this situation step by step:

1. The user wants to find the cheapest flights from London to Paris for tomorrow (2025-05-29)
2. The trajectory shows we already successfully got tomorrow's date using calendar.get_tomorrow_date
3. Then we attempted to call flights.search_flights but it failed twice due to timeout errors
4. According to the model instructions, specifically rule 2️⃣: **Max retries for a tool call = 3**

Since the tool has failed twice due to timeout errors, and the maximum retry limit is 3, I still have ONE more retry attempt available before I need to log and explain the failure.

Therefore, according to the instructions, my next action should be:
- Attempt the flights.search_flights call ONE more time (3rd and final attempt)
- If it fails again, I must log the failure and explain it to the user

Additionally, per rule 3️⃣, after any successful tool call, I should store meaningful results in memory using the memory tool.

Response: According to the model instructions (specifically rule 2️⃣ which states 'Max retries for a tool call = 3'), my next action is:

**RETRY the flights.search_flights call ONE more time (3rd attempt)**

This is because:
- The tool has failed 2 times so far
- The maximum allowed retries is 3
- I have 1 remaining attempt before exhausting the retry limit

Action to take:
```
Call: flights.search_flights
Params: {
  "from_city": "London",
  "to_city": "Paris", 
  "date": "2025-05-29"
}
```

**If this 3rd attempt also fails:**
- Log the failure with explanation (as per rule 2️⃣)
- Inform the user that the flight search service is unavailable due to timeout errors after 3 attempts
- Store the error state in memory using memory.store_item with a key like 'flight_search_error'
- Suggest the user try again later or provide alternative assistance