Google Docs Agent by Nova (CIVAI)
I do everything related to Google Docs
使うべきか
品質と安全性
B
検出事項（5）
- LOWTool 'google_docs__converse' description lacks action verbgoogle_docs__converse 内
- LOWTool 'deep_research__conduct-deep-research' doesn't follow camelCase/snake_casedeep_research__conduct-deep-research 内
- LOWTool 'deep_research__conduct-deep-research' name length outside 3-30 rangedeep_research__conduct-deep-research 内
- LOWTool 'deep_research__generate-research-report' doesn't follow camelCase/snake_casedeep_research__generate-research-report 内
- LOWTool 'deep_research__generate-research-report' name length outside 3-30 rangedeep_research__generate-research-report 内
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
~634トークン数（ツール定義）
~701 B一般的なレスポンスサイズ
注意への影響は最小限（128k コンテキストの 0.50%）
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"google-docs-agent": {
"url": "https://nova.civai.co/mcp/agents/google-docs-agent"
}
}
}リモートエンドポイント
https://nova.civai.co/mcp/agents/google-docs-agentstreamable-httpできること
ツール一覧
ツール（8）
🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡google_docs__create_doc(detail)
Run Google docs action: create doc
入力スキーマ
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Task-specific details from the objective."
}
}
}🟢google_docs__list_docs(detail)
Run Google docs action: list docs
入力スキーマ
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Task-specific details from the objective."
}
}
}🟢google_docs__get_doc(detail)
Run Google docs action: get doc
入力スキーマ
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Task-specific details from the objective."
}
}
}⚪google_docs__rewrite_doc(detail)
Run Google docs action: rewrite doc
入力スキーマ
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Task-specific details from the objective."
}
}
}🔴google_docs__delete_doc(detail)
Run Google docs action: delete doc
入力スキーマ
{
"type": "object",
"properties": {
"detail": {
"type": "string",
"description": "Task-specific details from the objective."
}
}
}⚪google_docs__converse(reply_hint)
Reply conversationally when the request is ambiguous or needs clarification.
入力スキーマ
{
"type": "object",
"properties": {
"reply_hint": {
"type": "string",
"description": "Optional hint for the conversational reply."
}
}
}🟢deep_research__conduct-deep-research(topic, objective, breadth, depth, max_total_queries, ...)
Conduct deep, iterative research on a topic by generating multiple search queries, processing the results, and recursively exploring new research directions.
入力スキーマ
{
"type": "object",
"properties": {
"topic": {
"type": "string",
"description": "The main topic or question to research"
},
"objective": {
"type": "string",
"description": "The specific goal or objective of the research"
},
"breadth": {
"type": "integer",
"description": "Number of search queries per research direction (1-5)",
"default": 3,
"minimum": 1,
"maximum": 5
},
"depth": {
"type": "integer",
"description": "Depth of recursive exploration (0-2)",
"default": 1,
"minimum": 0,
"maximum": 2
},
"max_total_queries": {
"type": "integer",
"description": "Maximum number of search queries to process (2-5)",
"default": 2,
"minimum": 2,
"maximum": 5
},
"max_duration_seconds": {
"type": "integer",
"description": "Maximum duration for the research process in seconds (60-300)",
"default": 120,
"minimum": 60,
"maximum": 300
},
"connection_id": {
"type": "string",
"description": "Optional connection ID for the user",
"default": ""
}
},
"required": [
"topic",
"objective"
]
}⚪deep_research__generate-research-report(research_data, objective)
Generate a comprehensive research report from existing research data.
入力スキーマ
{
"type": "object",
"properties": {
"research_data": {
"type": "string",
"description": "The research data and findings to include in the report"
},
"objective": {
"type": "string",
"description": "The specific goal or objective of the report"
}
},
"required": [
"research_data",
"objective"
]
}推奨プロンプト
retrieve_data
Get details about [item] from Google Docs Agent by Nova (CIVAI)
想定されるツール:
google_docs__get_docfind_specific
Find [specific item] using Google Docs Agent by Nova (CIVAI)
想定されるツール:
deep_research__conduct-deep-researchfetch_info
Fetch [information type] using Google Docs Agent by Nova (CIVAI)
想定されるツール:
google_docs__get_docsearch_research
Search for information about [topic] using Google Docs Agent by Nova (CIVAI)
想定されるツール:
deep_research__conduct-deep-researchlist_items
List all [items] available in Google Docs Agent by Nova (CIVAI)
想定されるツール:
google_docs__list_docsコミュニティ
エビデンス
最近の観測
検証済みバージョンは記録されていませんツール 8 件
検証済みバージョンは記録されていませんツール 8 件