input: 
  def scrape_web_store_data(url: str) -> list:
      """
      Scrapes product data from an online web store using Python BeautifulSoup.
      The function makes a GET request to the provided URL, parses the HTML
      content, and extracts product names, prices, and descriptions.
      Returns a list of tuples where each tuple contains (name, price, description).
      >>> scrape_web_store_data('http://web-store.com')
      [('Product1', '$19.99', 'Description of Product1'), ('Product2', '$29.99', 'Description of Product2')]
      """
      import requests
      from bs4 import BeautifulSoup
  
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get(url).text
  
      # Parse the HTML content
      soup = BeautifulSoup(html_content, "lxml")
  
      # Get the product data
      products = soup.find_all('div', attrs={"itemprop": "product"})
      results = []
      for product in products:
          name = product.find("span", attrs={"itemprop": "name"}).text
          price = product.find("span", attrs={"itemprop": "price"}).text
          description = product.find("span", attrs={"itemprop": "description"}).text
          results.append((name, price, description))
  
      return results
  
output:     
      import requests
      from bs4 import BeautifulSoup
  
      # Make a GET request to fetch the raw HTML content
      html_content = requests.get(url).text
  
      # Parse the HTML content
      soup = BeautifulSoup(html_content, "lxml")
  
      # Get the product data
      products = soup.find_all('div', attrs={"itemprop": "product"})
      results = []
      for product in products:
          name = product.find("span", attrs={"itemprop": "name"}).text
          price = product.find("span", attrs={"itemprop": "price"}).text
          description = product.find("span", attrs={"itemprop": "description"}).text
          results.append((name, price, description))
  
      return results
  