Google Sheets Agent by Nova (CIVAI)

I do everything related to Google Sheets

我该使用它吗

质量与安全性

A
描述质量
88%
模式完整度
92%
命名质量
69%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(5)

  • LOWTool 'google_sheets__converse' description lacks action verb在 google_sheets__converse 中
  • LOWTool 'deep_research__conduct-deep-research' doesn't follow camelCase/snake_case在 deep_research__conduct-deep-research 中
  • LOWTool 'deep_research__conduct-deep-research' name length outside 3-30 range在 deep_research__conduct-deep-research 中
  • LOWTool 'deep_research__generate-research-report' doesn't follow camelCase/snake_case在 deep_research__generate-research-report 中
  • LOWTool 'deep_research__generate-research-report' name length outside 3-30 range在 deep_research__generate-research-report 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~691token 数(工具定义)
~662 B典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.54%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "google-sheets-agent": {
      "url": "https://nova.civai.co/mcp/agents/google-sheets-agent"
    }
  }
}

远程端点

https://nova.civai.co/mcp/agents/google-sheets-agentstreamable-http

它能做什么

工具清单

工具(9)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟡google_sheets__create_sheet(detail)

Run Google sheets action: create sheet

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_sheets__generate_sheet(detail)

Run Google sheets action: generate sheet

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_sheets__list_sheets(detail)

Run Google sheets action: list sheets

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟢google_sheets__get_sheet(detail)

Run Google sheets action: get sheet

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🟡google_sheets__update_sheet(detail)

Run Google sheets action: update sheet

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
🔴google_sheets__delete_sheet(detail)

Run Google sheets action: delete sheet

输入模式

{
  "type": "object",
  "properties": {
    "detail": {
      "type": "string",
      "description": "Task-specific details from the objective."
    }
  }
}
⚪google_sheets__converse(reply_hint)

Reply conversationally when the request is ambiguous or needs clarification.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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"
  ]
}

推荐提示词

search_research
Search for information about [topic] using Google Sheets Agent by Nova (CIVAI)
预期工具: deep_research__conduct-deep-research
fetch_info
Fetch [information type] using Google Sheets Agent by Nova (CIVAI)
预期工具: google_sheets__get_sheet
find_specific
Find [specific item] using Google Sheets Agent by Nova (CIVAI)
预期工具: deep_research__conduct-deep-research
retrieve_data
Get details about [item] from Google Sheets Agent by Nova (CIVAI)
预期工具: google_sheets__get_sheet
list_items
List all [items] available in Google Sheets Agent by Nova (CIVAI)
预期工具: google_sheets__list_sheets

社区

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证据

最近观测

已验证未记录版本9 个工具
已验证未记录版本9 个工具