Geography
用透明的离线模型估算大潮/小潮驱动力和月地距离放大效应。
用三种语言从你的代码中调用此工具。
curl -X POST 'http://127.0.0.1:3003/zh/api/tools/tide-and-lunar-distance-predictor' \
-H 'Content-Type: application/json' \
-d '{"moonAgeDays":0.2,"lunarDistanceKm":363300,"declinationDeg":5,"baselineRange":1}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST http://127.0.0.1:3003/zh/api/tools/tide-and-lunar-distance-predictor| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| moonAgeDays | number | 是 | 0 = new moon; about 14.77 = full moon. |
| lunarDistanceKm | number | 是 | Perigee is about 363,300 km; apogee is about 405,500 km. |
| declinationDeg | number | 是 | Use a signed value; the absolute value affects this simplified model. |
| baselineRange | number | 是 | Typical local range used only to express the result in metres. |
HTML 结果
{
"result": "<div>Processed HTML content</div>",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}将此工具加入你的 Model Context Protocol 服务，让 AI 智能体可以列出并调用它。
将以下内容加入你的 MCP 客户端配置：
{
"mcpServers": {
"elysiatools-tide-and-lunar-distance-predictor": {
"name": "tide-and-lunar-distance-predictor",
"description": "用透明的离线模型估算大潮/小潮驱动力和月地距离放大效应。",
"baseUrl": "http://127.0.0.1:3003/mcp/sse?toolId=tide-and-lunar-distance-predictor",
"command": "",
"args": [],
"env": {},
"isActive": true,
"type": "sse"
}
}
}连接到 SSE 端点后，列出已开放的工具：
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/list"
}通过工具 id 调用，参数由其参数表构建：
{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/call",
"params": {
"name": "tide-and-lunar-distance-predictor",
"arguments": {
"moonAgeDays": 0.2,
"lunarDistanceKm": 363300,
"declinationDeg": 5,
"baselineRange": 1
}
}
}有问题或反馈？请联系 [email protected]