Agents

Of the available tools. Which ones will you need to use to successfully complete the task?

All tools will need to be used: calendar, flights,memory

Reasoning: 
    1. **Task Analysis**: The user requests the top 3 cheapest flights from London to Paris for tomorrow. This requires:
       - Determining 'tomorrow's date' dynamically.
       - Searching flights for that date, sorted by price.
       - Returning only the top 3 results.

    2. **Tool Evaluation**:
       - **Calendar Tool**: Essential to fetch tomorrow's date via `get_tomorrow_date`.
       - **Flights Tool**: Required to search flights using `search_flights` with parameters for cities, date, and result limits.
       - **Memory Tool**: Mandatory per instructions to store intermediate results (date, flight data).

    3. **Method Selection**:
       - Use `calendar.get_tomorrow_date` to get the travel date.
       - Use `flights.search_flights` with `from_city`, `to_city`, `date`, and `max_results=3` (assuming it sorts by price).
       - Store results in memory after each step using `memory.store_item`.

    4. **Fallbacks**:
       - If `max_results` is unsupported, retrieve all flights and manually filter the top 3 cheapest.
       - Handle potential errors (e.g., no flights) by storing error states in memory and notifying the user.

    5. **Optimization**:
       - Minimize tool calls: Fetch date once, reuse it.
       - Avoid redundant searches by leveraging `max_results` if available.
    

Response: 
    To complete the task of finding the top 3 cheapest flights from London to Paris for tomorrow, the following tools and methods are required:

    **Tools Needed:**
    1. **Calendar Tool**
       - Method: `get_tomorrow_date`
       - Purpose: Dynamically retrieve tomorrow's date for the flight search.

    2. **Flights Tool**
       - Method: `search_flights`
       - Purpose: Search flights from London to Paris for the retrieved date, limited to the top 3 cheapest options.
       - Parameters: `from_city='London'`, `to_city='Paris'`, `date=<tomorrow's_date>`, `max_results=3` (if supported).
       - Fallback: If `max_results` is not supported, retrieve all flights and manually filter the top 3 cheapest.

    3. **Memory Tool**
       - Method: `store_item`
       - Purpose: Store intermediate results (tomorrow's date, flight search results) as per instructions.
       - Keys: `travel_date` (for the date), `flight_options` (for flight results).

    **Execution Flow:**
    1. Call `calendar.get_tomorrow_date` to get the travel date.
    2. Store the retrieved date in memory with key `travel_date`.
    3. Call `flights.search_flights` with the stored date and city parameters.
    4. Store the flight results in memory with key `flight_options`.
    5. Return the top 3 cheapest flights from the stored results to the user.