weather-Israel
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| open_weather_forecast_israelA | Open the forecast site and keep the browser/page open for subsequent tools. |
| enter_weather_search_israelA | Enter the city name into the search field and wait for autocomplete results. This uses the shared Page in |
| select_weather_forecast_city_israelA | Select the first autocomplete result (or press Enter) and wait for forecast page to load. |
| extract_weather_data_israelA | Extract and clean the visible forecast text from the current page. This expects that a forecast page is already loaded in the shared Page (i.e., after select_weather_forecast_city_israel). It will attempt to extract the main forecast container text and remove obvious noise like advertisements, links, and short UI strings. |
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 4 tools
Each tool performs a distinct step in a linear workflow: opening the site, entering a search query, selecting a result, and extracting data. No two tools overlap in purpose, making selection unambiguous.
All tool names follow the same verb_noun_israel pattern with snake_case (open_weather_forecast_israel, enter_weather_search_israel, select_weather_forecast_city_israel, extract_weather_data_israel). The consistent suffix and verb-first structure make the set predictable.
Four tools is well-scoped for a narrow weather-extraction workflow. Each tool represents an essential step in the pipeline, and the count is comfortably within the ideal range.
The tool surface covers the complete sequence from opening the site to extracting the final data, with clear dependencies between steps. There are no dead ends or missing operations needed to accomplish the server's stated purpose.