AI Tools
用 STAR 方法（情境/任务/行动/结果）把弱简历要点改写为含强动词与量化结果的成就型要点，并给出前后 STAR 评分与可读性诊断
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/resume-bullet-star-rewriter' \
-H 'Content-Type: application/json' \
-d '{"bullet":"Responsible for user growth on the mobile app.","targetRole":"Senior Growth PM","outputLang":"en","style":"concise"}'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/resume-bullet-star-rewriter| 参数名 | 类型 | 必填 | 说明 |
|---|---|---|---|
| bullet | textarea | 是 | — |
| targetRole | text | 否 | — |
| outputLang | select | 否 | — |
| style | select | 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-resume-bullet-star-rewriter": {
"name": "resume-bullet-star-rewriter",
"description": "用 STAR 方法（情境/任务/行动/结果）把弱简历要点改写为含强动词与量化结果的成就型要点，并给出前后 STAR 评分与可读性诊断",
"baseUrl": "https://api.elysiatools.com/mcp/sse?toolId=resume-bullet-star-rewriter",
"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": "resume-bullet-star-rewriter",
"arguments": {
"bullet": "Responsible for user growth on the mobile app.",
"targetRole": "Senior Growth PM",
"outputLang": "en",
"style": "concise"
}
}
}有问题或反馈？请联系 [email protected]