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isdaniel

Weather MCP Server

get_air_quality

Retrieve air quality data for any city including pollutant levels and health advisories to assess environmental conditions.

Instructions

Get air quality information for a specified city including PM2.5, PM10, ozone, nitrogen dioxide, carbon monoxide, and other pollutants. Provides health advisories based on current air quality levels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesThe name of the city to fetch air quality information for, PLEASE NOTE English name only, if the parameter city isn't English please translate to English before invoking this function.
variablesNoAir quality variables to retrieve. If not specified, defaults to pm10, pm2_5, ozone, nitrogen_dioxide, and carbon_monoxide.

Implementation Reference

  • The run_tool method in GetAirQualityToolHandler that implements the core execution logic for the 'get_air_quality' tool: validates input, geocodes city using WeatherService, fetches air quality data via AirQualityService, computes current index, formats comprehensive response.
    async def run_tool(self, args: dict) -> Sequence[TextContent | ImageContent | EmbeddedResource]: """ Execute the air quality tool. """ try: self.validate_required_args(args, ["city"]) city = args["city"] variables = args.get("variables", [ "pm10", "pm2_5", "ozone", "nitrogen_dioxide", "carbon_monoxide" ]) logger.info(f"Getting air quality for: {city} with variables: {variables}") # Get coordinates for the city latitude, longitude = await self.weather_service.get_coordinates(city) # Get air quality data aq_data = await self.air_quality_service.get_air_quality( latitude, longitude, variables ) # Get current air quality values current_aq = self.air_quality_service.get_current_air_quality_index(aq_data) # Build comprehensive response data for AI comprehension response_data = { "city": city, "latitude": latitude, "longitude": longitude, "current_air_quality": current_aq, "full_data": aq_data } # Format the response with comprehensive field descriptions formatted_response = self.air_quality_service.format_air_quality_comprehensive( response_data ) return [ TextContent( type="text", text=formatted_response ) ] except ValueError as e: logger.error(f"Air quality service error: {str(e)}") return [ TextContent( type="text", text=f"Error: {str(e)}" ) ] except Exception as e: logger.exception(f"Unexpected error in get_air_quality: {str(e)}") return [ TextContent( type="text", text=f"Unexpected error occurred: {str(e)}" ) ]
  • The get_tool_description method defining the Tool object for 'get_air_quality', including detailed inputSchema with city (required) and optional variables enum.
    def get_tool_description(self) -> Tool: """ Return the tool description for air quality lookup. """ return Tool( name=self.name, description="""Get air quality information for a specified city including PM2.5, PM10, ozone, nitrogen dioxide, carbon monoxide, and other pollutants. Provides health advisories based on current air quality levels.""", inputSchema={ "type": "object", "properties": { "city": { "type": "string", "description": "The name of the city to fetch air quality information for, PLEASE NOTE English name only, if the parameter city isn't English please translate to English before invoking this function." }, "variables": { "type": "array", "items": { "type": "string", "enum": [ "pm10", "pm2_5", "carbon_monoxide", "nitrogen_dioxide", "ozone", "sulphur_dioxide", "ammonia", "dust", "aerosol_optical_depth" ] }, "description": "Air quality variables to retrieve. If not specified, defaults to pm10, pm2_5, ozone, nitrogen_dioxide, and carbon_monoxide." } }, "required": ["city"] } )
  • Registration of the GetAirQualityToolHandler in the server's register_all_tools function.
    # Air quality tools add_tool_handler(GetAirQualityToolHandler()) add_tool_handler(GetAirQualityDetailsToolHandler())
  • AirQualityService.get_air_quality: core helper method that makes HTTP request to Open-Meteo air quality API to fetch pollutant data for given lat/lon and variables.
    async def get_air_quality( self, latitude: float, longitude: float, hourly_vars: List[str] = None ) -> Dict[str, Any]: """ Get air quality data for given coordinates. Args: latitude: Latitude coordinate longitude: Longitude coordinate hourly_vars: List of hourly variables to retrieve Returns: Air quality data dictionary Raises: ValueError: If air quality data cannot be retrieved """ if hourly_vars is None: hourly_vars = ["pm10", "pm2_5", "ozone", "nitrogen_dioxide", "carbon_monoxide"] hourly_str = ",".join(hourly_vars) url = ( f"{self.BASE_AIR_QUALITY_URL}" f"?latitude={latitude}&longitude={longitude}" f"&hourly={hourly_str}" f"&timezone=GMT" ) logger.info(f"Fetching air quality data from: {url}") try: async with httpx.AsyncClient() as client: response = await client.get(url) if response.status_code != 200: raise ValueError(f"Air Quality API returned status {response.status_code}") return response.json() except httpx.RequestError as e: raise ValueError(f"Network error while fetching air quality data: {str(e)}") except (KeyError, IndexError) as e: raise ValueError(f"Invalid response format from air quality API: {str(e)}") def get_current_air_quality_index(self, aq_data: Dict[str, Any]) -> Dict[str, Any]:

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