israel-weather-mcp-agent
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENAI_MODEL | No | The OpenAI model to use (default: gpt-4.1-mini) | gpt-4.1-mini |
| OPENAI_API_KEY | Yes | Your OpenAI API key |
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 | פותח דפדפן ומנווט לעמוד התחזית בישראל. זה כלי פתיחה מומלץ לפני שאר הכלים. |
| enter_weather_forecast_city_israelA | מזין עיר לשדה החיפוש באתר התחזית הישראלי. מומלץ להפעיל אחרי open_weather_forecast_israel. |
| select_weather_forecast_city_israelA | בוחר את העיר הראשונה מרשימת ההצעות. אם צריך משתמש גם במקלדת (חץ למטה + Enter). |
| extract_weather_forecast_content_israelB | מחלץ תוכן תחזית מהעמוד ומחזיר טקסט נקי ל-LLM. להפעיל אחרי בחירת עיר. |
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 has a distinct action (open, enter, select, extract) and target, reducing ambiguity. However, the repetitive naming with 'weather_forecast_israel' might cause minor confusion in a larger set.
The naming follows a consistent pattern of verb_weather_forecast_target_israel, but the verbs vary (open, enter, select, extract) without a uniform action prefix. The pattern is recognizable but not fully standardized.
Four tools is well-scoped for a sequential web scraping workflow, providing just enough steps without redundancy. This is an ideal size for the intended purpose.
The tools cover the essential steps for retrieving weather data (open site, search city, select result, extract content). Minor gaps like error handling or direct URL navigation are not included, but the core workflow is complete.