IPMA Weather Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_weather_forecastC | Obter previsão meteorológica para uma cidade específica em Portugal |
| get_weather_warningsB | Obter avisos meteorológicos ativos em Portugal |
| get_seismic_dataC | Obter dados sísmicos recentes |
| get_locationsB | Listar todas as cidades/locais disponíveis para previsão |
| get_weather_stationsC | Obter dados de observação das estações meteorológicas |
| get_uv_forecastC | Obter previsão do índice UV |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose with no overlap: listing locations, seismic data, UV forecast, weather forecast, station observations, and weather warnings. The descriptions specify different data types and targets, making misselection unlikely.
All tools follow a consistent 'get_<resource>' naming pattern (e.g., get_locations, get_weather_forecast). This uniformity makes the tool set predictable and easy to understand for an agent.
With 6 tools, the server is well-scoped for weather and seismic data in Portugal. Each tool serves a specific function without redundancy, fitting the domain appropriately and avoiding bloat.
The tools cover key aspects like forecasts, warnings, stations, and seismic data, but there are minor gaps such as no historical weather data or detailed location-specific queries beyond forecasts. However, core workflows are well-supported.