Agents – anthropic/claude-opus-4.6 Task

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

14s

Input Tokens

1601

Output Tokens

711

Cost

$0.03

Context

Input

The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow. What is the next tool you will call, and why?

Expected output

The next tool is memory, to store the flights tool call result.

Model output

Reasoning: Let me analyze the current state of the task:

1. **User's request**: Find the cheapest flights from London to Paris for tomorrow, return top 3 options.
2. **Trajectory so far**: 
   - Step 1: Called calendar.get_tomorrow_date → got '2025-05-29'
   - Step 2: Called flights.search_flights with date='2025-05-29' → returned 6 available flights
3. **Current position**: Step 2 of 4 is complete. We now have 6 flights.
4. **What's next according to the scratch pad**: Filter by price and select top 3 cheapest options.

Now, according to the instructions (Rule 3), after every tool call, I must store the results in memory. The flights.search_flights just returned 6 flights, and we need to store those results before proceeding.

So the very next tool call should be **memory.store_item** to store the search results from the flights.search_flights call. After that, I would call **flights.filter_by_price** to sort/filter the 6 flights by price and get the top 3 cheapest options.

Wait, let me re-read the rule: "Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."

So the immediate next call should be **memory.store_item** to store the 6 flight results from the search, before proceeding to filter them. This follows Rule 3 strictly.

Response: The next tool I will call is **memory.store_item** to store the 6 flight search results returned by `flights.search_flights`.

**Why?**

According to Rule 3 of my operating instructions: *"Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."*

Since `flights.search_flights` just returned 6 available flights, I must first persist these results in memory before proceeding. I would call:

```
memory.store_item(key='london_paris_flights_2025-05-29', value=<the 6 flight results>)
```

**After that**, the subsequent tool call would be **flights.filter_by_price** to sort the 6 flights by price and extract the top 3 cheapest options, aligning with the planned next step in the scratch pad (Step 3 of 4).

**Full remaining plan:**
1. ✅ (Now) `memory.store_item` — store the 6 search results
2. `flights.filter_by_price` — filter/sort to get the top 3 cheapest
3. `memory.store_item` — store the top 3 cheapest flights under key `'top_flights'`
4. Present the summary to the user

Reasoning: Let me analyze the current state of the task: 1. **User's request**: Find the cheapest flights from London to Paris for tomorrow, return top 3 options. 2. **Trajectory so far**: - Step 1: Called calendar.get_tomorrow_date → got '2025-05-29' - Step 2: Called flights.search_flights with date='2025-05-29' → returned 6 available flights 3. **Current position**: Step 2 of 4 is complete. We now have 6 flights. 4. **What's next according to the scratch pad**: Filter by price and select top 3 cheapest options. Now, according to the instructions (Rule 3), after every tool call, I must store the results in memory. The flights.search_flights just returned 6 flights, and we need to store those results before proceeding. So the very next tool call should be **memory.store_item** to store the search results from the flights.search_flights call. After that, I would call **flights.filter_by_price** to sort/filter the 6 flights by price and get the top 3 cheapest options. Wait, let me re-read the rule: "Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory." So the immediate next call should be **memory.store_item** to store the 6 flight results from the search, before proceeding to filter them. This follows Rule 3 strictly. Response: The next tool I will call is **memory.store_item** to store the 6 flight search results returned by `flights.search_flights`. **Why?** According to Rule 3 of my operating instructions: *"Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."* Since `flights.search_flights` just returned 6 available flights, I must first persist these results in memory before proceeding. I would call: ``` memory.store_item(key='london_paris_flights_2025-05-29', value=<the 6 flight results>) ``` **After that**, the subsequent tool call would be **flights.filter_by_price** to sort the 6 flights by price and extract the top 3 cheapest options, aligning with the planned next step in the scratch pad (Step 3 of 4). **Full remaining plan:** 1. ✅ (Now) `memory.store_item` — store the 6 search results 2. `flights.filter_by_price` — filter/sort to get the top 3 cheapest 3. `memory.store_item` — store the top 3 cheapest flights under key `'top_flights'` 4. Present the summary to the user