weather-mcp-playwright
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 a browser and navigate to the Israeli weather forecast site (weather2day.co.il). This must be called first, before entering or selecting a city. |
| enter_weather_forecast_city_israelB | Type a city name into the search field on the forecast page. Args: city: City name in Hebrew (e.g. 'תל אביב', 'ירושלים', 'חיפה') |
| select_weather_forecast_city_israelA | Select the first city in the autocomplete suggestions list and load its forecast page. |
| get_weather_forecast_content_israelA | Extract the forecast content from the currently open city forecast page, so it can be used to answer the user's weather question directly. |
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 handles a distinct, sequential step: open site, enter city, select suggestion, extract content. No overlap or ambiguity between them.
All names follow a predictable action_weather_forecast_..._israel pattern with snake_case. The pattern is consistent and readable.
4 tools perfectly cover the browser-based workflow for this narrow purpose. Not too sparse, not bloated.
The tool set forms a complete, linear workflow from opening the site to extracting forecast content. No obvious gaps for the stated domain.