Returns current active weather warnings (Avisos Meteorológicos) including:
- Warning type (precipitation, wind, fog, maritime agitation, etc.)
- Awareness level (green, yellow, orange, red)
- Affected area
- Start and end times

Args:
    city_name: Name of the Portuguese city (e.g. Lisboa, Porto, Faro, Aveiro, Braga)

Returns detailed 5-day forecast including temperature, precipitation, wind, and weather type.

Args:
    day: Forecast day (0=today, 1=tomorrow, 2=day after tomorrow). Valid range: 0-2

Returns aggregated forecast for all Portuguese locations for the specified day.

Args:
    region: Region to filter ('all', 'continente', 'açores', 'madeira'). 
            Default is 'all' for all regions.

Note: This endpoint returns the last 30 days of seismic information for 
Azores Archipelago, Continental Portugal, and Madeira Archipelago.

Args:
    location_name: Name of coastal location (e.g., 'Porto', 'Lisboa', 'Faro', 'Funchal', 'Leiria').
                  Leave empty to see all available locations.
    day: Forecast day (0=today, 1=tomorrow, 2=day after tomorrow). Valid range: 0-2

Returns sea state forecast including wave height, period, direction, and sea temperature.

Args:
    day: Forecast day (0=today, 1=tomorrow). Valid range: 0-1

Returns fire risk classification (RCM - Risco de Incêndio) for Portuguese municipalities.
Fire risk levels: 1=Low, 2=Moderate, 3=High, 4=Very High, 5=Maximum

Returns UV radiation index forecast for Portuguese locations.
UV Index levels:
- 0-2: Low
- 3-5: Moderate
- 6-7: High
- 8-10: Very High
- 11+: Extreme

Args:
    station_id: ID of the weather station. Leave empty to see all stations.

Returns hourly meteorological observations from the last 24 hours including:
- Temperature
- Humidity  
- Pressure
- Wind speed and direction
- Precipitation
- Radiation

Returns a comprehensive list of all locations available in the IPMA database,
including district capitals and islands (Madeira and Azores).

Returns a mapping of weather type IDs to their Portuguese and English descriptions.
This helps interpret the idWeatherType field in forecast data.