Duration
15s
Input Tokens
1601
Output Tokens
850
Cost
$0.02
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 situation carefully:
1. **Task**: 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 state**: We have 6 flights returned from the search.
4. **Scratch pad plan**: Next planned step is 'Filter by price and select top 3 cheapest options.'
5. **Instructions rule #3**: After every tool call, store results in memory using the memory tool.
Since the instructions explicitly state: **"Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."** — the very next action after `flights.search_flights` returned results should be to store those results in memory before proceeding.
However, looking at the scratch pad, the next planned step is to filter by price. But Rule #3 is clear: after every tool call, store results in memory. So the immediate next call should be `memory.store_item` to store the raw search results, THEN filter by price.
Actually, let me reconsider: the scratch pad says the final step is to store top 3 in memory, not all 6. But the rule says after EVERY tool call store results. So the next call should be `memory.store_item` to store the 6 flight results from the search, then filter them.
The next tool call is: **`memory.store_item`** to store the 6 flight results returned by `flights.search_flights`, with a key like 'search_results_london_paris_2025-05-29'.
Response: The next tool I will call is **`memory.store_item`**, to store the 6 flight results returned by `flights.search_flights`.
**Why?**
Per Rule #3: *"Always store meaningful results in memory using the memory tool. This means after every tool call, you store the results in memory."* The `flights.search_flights` call just completed and returned 6 flight results — this is meaningful data that must be persisted before proceeding.
**Call details:**
- **Tool**: `memory`
- **Method**: `store_item`
- **Parameters**:
- `key`: `"search_results_london_paris_2025-05-29"`
- `value`: `"[All 6 flight results returned by flights.search_flights for London→Paris on 2025-05-29]"`
**After this**, the next logical step (Step 3 of 4) will be to call **`flights.filter_by_price`** (or `sort_by_duration`/`get_cheapest_option`) on the 6 results to identify and select the top 3 cheapest options — as outlined in the scratch pad plan.
This ensures:
1. ✅ Data is safely stored (Rule #3 compliance)
2. ✅ No redundant re-fetching of flight data (Rule #4 compliance)
3. ✅ The chain of tools progresses logically: `calendar` → `flights.search` → `memory.store` → `flights.filter_by_price` → `memory.store` (top 3) → present to user