diff --git a/README.md b/README.md
index 42aa8a1..2b4a4fa 100644
--- a/README.md
+++ b/README.md
@@ -37,9 +37,41 @@ python jsonmode.py --query "Please return a json object to represent Goku from t
 - `--query`: Query to be used for function call inference (default: "I need the current stock price of Tesla (TSLA)").
 - `--max_depth`: Maximum number of recursive iterations (default: 5).
 
+## Available Functions
+
+The repository includes the following built-in functions:
+
+### Stock/Financial Functions
+- `get_current_stock_price` - Get current stock price for a symbol
+- `get_stock_fundamentals` - Get fundamental data (PE ratio, market cap, etc.)
+- `get_financial_statements` - Get income statement, balance sheet, cash flow
+- `get_key_financial_ratios` - Get key financial ratios
+- `get_analyst_recommendations` - Get analyst recommendations
+- `get_dividend_data` - Get dividend history
+- `get_company_news` - Get company news and press releases
+- `get_technical_indicators` - Get technical indicators
+- `get_company_profile` - Get company profile and overview
+
+### Utility Functions
+- `code_interpreter` - Execute Python code
+- `google_search_and_scrape` - Search Google and scrape results
+
+### Weather Function
+- `get_weather` - Get current weather for any location using wttr.in API
+
+Example usage:
+```bash
+python functioncall.py --query "What's the weather like in Tokyo?"
+```
+
+Example output:
+```json
+{"location": "Tokyo", "temperature_c": "18", "temperature_f": "64", "condition": "Partly cloudy", "humidity": "72", "wind_speed_kmh": "11", "wind_direction": "NE", "feels_like_c": "18", "precipitation_mm": "0.0"}
+```
+
 ## Adding Custom Functions
 
-To add your own functions for the model to use, you can modify the `functions.py` script. This script contains various functions that retrieve stock-related information using the `yfinance` library.
+To add your own functions for the model to use, you can modify the `functions.py` script. This script contains various functions that retrieve stock-related information using the `yfinance` library, as well as other utility functions like weather lookup.
 
 Here's an example of how to add a new function:
 
diff --git a/functions.py b/functions.py
index 794627a..0bc69e8 100644
--- a/functions.py
+++ b/functions.py
@@ -295,6 +295,58 @@ def get_company_profile(symbol: str) -> dict:
         print(f"Error fetching company profile for {symbol}: {e}")
         return {}
 
+@tool
+def get_weather(location: str) -> dict:
+    """
+    Get current weather information for a given location using the wttr.in API.
+
+    Args:
+        location (str): The city name or location to get weather for (e.g., "London", "New York", "Tokyo").
+
+    Returns:
+        dict: A dictionary containing weather information.
+            Keys:
+                - 'location': The requested location.
+                - 'temperature_c': Current temperature in Celsius.
+                - 'temperature_f': Current temperature in Fahrenheit.
+                - 'condition': Weather condition description.
+                - 'humidity': Humidity percentage.
+                - 'wind_speed_kmh': Wind speed in km/h.
+                - 'wind_direction': Wind direction.
+                - 'feels_like_c': Feels like temperature in Celsius.
+                - 'precipitation_mm': Precipitation in millimeters.
+    """
+    try:
+        # wttr.in API with JSON format
+        url = f"https://wttr.in/{location}?format=j1"
+        headers = {'User-Agent': 'Mozilla/5.0'}
+        
+        response = requests.get(url, headers=headers, timeout=10)
+        response.raise_for_status()
+        
+        data = response.json()
+        current = data['current_condition'][0]
+        
+        weather_info = {
+            'location': location,
+            'temperature_c': current.get('temp_C', 'N/A'),
+            'temperature_f': current.get('temp_F', 'N/A'),
+            'condition': current.get('weatherDesc', [{}])[0].get('value', 'N/A'),
+            'humidity': current.get('humidity', 'N/A'),
+            'wind_speed_kmh': current.get('windspeedKmph', 'N/A'),
+            'wind_direction': current.get('winddir16Point', 'N/A'),
+            'feels_like_c': current.get('FeelsLikeC', 'N/A'),
+            'precipitation_mm': current.get('precipMM', 'N/A')
+        }
+        
+        return weather_info
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching weather for {location}: {e}")
+        return {'error': f"Failed to fetch weather data: {str(e)}"}
+    except (KeyError, IndexError) as e:
+        print(f"Error parsing weather data for {location}: {e}")
+        return {'error': f"Failed to parse weather data: {str(e)}"}
+
 def get_openai_tools() -> List[dict]:
     functions = [
         code_interpreter,
@@ -307,7 +359,8 @@ def get_openai_tools() -> List[dict]:
         get_key_financial_ratios,
         get_analyst_recommendations,
         get_dividend_data,
-        get_technical_indicators
+        get_technical_indicators,
+        get_weather
     ]
 
     tools = [convert_to_openai_tool(f) for f in functions]