Text Processing
粘贴文字,输出多维"声纹"评分(formal↔casual、confident↔cautious、optimistic↔concerned、playful↔serious)。可上传品牌参考文对照,给出 0–100 偏离度与逐维差异。
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/voice-tone-tone-of-voice-auditor' \
-H 'Content-Type: application/json' \
-d '{"textToAudit":"We are absolutely thrilled to launch this. It is the best upgrade we have ever shipped, and you will definitely love it. Get ready — your workflow is about to get amazing!","brandReference":"Paste a sample of your brand voice (≥50 words) to compute deviation."}'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/voice-tone-tone-of-voice-auditor| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| textToAudit | textarea | 是 | — |
| brandReference | textarea | 否 | — |
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-voice-tone-tone-of-voice-auditor": {
"name": "voice-tone-tone-of-voice-auditor",
"description": "粘贴文字,输出多维\"声纹\"评分(formal↔casual、confident↔cautious、optimistic↔concerned、playful↔serious)。可上传品牌参考文对照,给出 0–100 偏离度与逐维差异。",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=voice-tone-tone-of-voice-auditor",
"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": "voice-tone-tone-of-voice-auditor",
"arguments": {
"textToAudit": "We are absolutely thrilled to launch this. It is the best upgrade we have ever shipped, and you will definitely love it. Get ready — your workflow is about to get amazing!",
"brandReference": "Paste a sample of your brand voice (≥50 words) to compute deviation."
}
}
}有问题或反馈？请联系 [email protected]