Math & Numbers
调整和格式化数字精度、小数位数和科学记数法,支持多种舍入和填充选项
用三种语言从你的代码中调用此工具。
curl -X POST 'https://api.elysiatools.com/zh/api/tools/number-precision-adjuster' \
-H 'Content-Type: application/json' \
-d '{"numbersInput":"Enter numbers separated by commas, spaces, or newlines:\n3.141592653589793, 2.718281828459045, 1.414213562373095\n42.123456789 89.987654321 0.001234567","precisionMode":"decimal","decimalPlaces":2,"significantFigures":3,"roundingMethod":"normal","paddingMethod":"none","scientificNotationThreshold":0,"showOriginal":true,"showSteps":false}'以 JSON 形式 POST 提交输入参数。文件类型参数需先单独上传。
POST https://api.elysiatools.com/zh/api/tools/number-precision-adjuster| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| numbersInput | textarea | 是 | — |
| precisionMode | select | 是 | — |
| decimalPlaces | number | 否 | — |
| significantFigures | number | 否 | — |
| roundingMethod | select | 是 | — |
| paddingMethod |
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-number-precision-adjuster": {
"name": "number-precision-adjuster",
"description": "调整和格式化数字精度、小数位数和科学记数法,支持多种舍入和填充选项",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=number-precision-adjuster",
"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": "number-precision-adjuster",
"arguments": {
"numbersInput": "Enter numbers separated by commas, spaces, or newlines:\n3.141592653589793, 2.718281828459045, 1.414213562373095\n42.123456789 89.987654321 0.001234567",
"precisionMode": "decimal",
"decimalPlaces": 2,
"significantFigures": 3,
"roundingMethod": "normal",
"paddingMethod": "none",
"scientificNotationThreshold": 0,
"showOriginal": true,
"showSteps": false
}
}
}有问题或反馈?请联系 [email protected]
| select |
| 是 |
| — |
| scientificNotationThreshold | number | 否 | — |
| showOriginal | checkbox | 否 | — |
| showSteps | checkbox | 否 | — |
文本结果
{
"result": "Processed text content",
"error": "Error message (optional)",
"message": "Notification message (optional)",
"metadata": {
"key": "value"
}
}