Tuatara Summarize
Extractive document summarizer: returns the text's own sentences, so it cannot add facts.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~336Token(工具定義)
~2.4 KB典型回應大小
極小的注意力影響(128k 上下文的 0.26%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"tuatara-summarize": {
"url": "https://cymetica.com/mcp/v1/summarize"
}
}
}遠端端點
https://cymetica.com/mcp/v1/summarizestreamable-http它能做什麼
工具清單
工具(1)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢summarize_document(text, sentence_count, ratio, max_tokens, context_control, ...)
Tuatara Summarize: extractive summary of a document. Returns the document's own sentences, chosen by a vector-association model, cut to sentence_count, a ratio of the sentences or a token budget; nothing is generated, so the summary cannot add facts. Use it to shrink long text before passing it to a chat model. Up to 200,000 characters per call; no account needed.
輸入結構描述
{
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "the document (plain text or HTML)"
},
"sentence_count": {
"type": "integer",
"description": "number of sentences to keep (1-500)"
},
"ratio": {
"type": "number",
"description": "share of the sentences to keep, 0.05-0.9 (e.g. 0.2)"
},
"max_tokens": {
"type": "integer",
"description": "token budget for the summary (cl100k tokens)"
},
"context_control": {
"type": "string",
"description": "one word to steer the summary toward a subject"
},
"context_control_sensitivity_level": {
"type": "number",
"description": "0-10, how strongly the word steers (default 2)"
},
"mode": {
"type": "string",
"description": "auto (default), faithful, gs1, gs2, best, tuned or tuned-best"
},
"order": {
"type": "string",
"description": "document (default: original order) or rank (best first)"
}
},
"required": [
"text"
]
}社群
證據
近期觀測
已驗證未記錄版本1 個工具