Snow Day Probability Api MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| API_KEY | Yes | API 密钥 |
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": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| snow_probabilityB | Snow Day Probability predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms. |
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 1 tool
With only one tool there is no risk of misselection between competing tools. However, there is nothing to distinguish against, so this is a trivially clean but uninformative case.
The single tool name 'snow_probability' uses a readable snake_case noun pattern with no competing conventions. A pattern cannot really be assessed from one name, so it is only nominally consistent.
A single tool is too thin for a service that implies location/date inputs and historical or forecasted variants. The rule of thumb treats one tool as an extreme under-scope, though the domain is genuinely narrow.
There is only a prediction operation with no visible parameters, no location lookup, no date/range handling, and no complementary queries. Agents will likely hit dead ends for anything beyond a bare prediction call.