MCP MeasureMCP Measure

インデックス観測済み

Support Agent Admin by Nova (CIVAI)

I manage your Support Agent CRM, pipeline analytics, follow-ups, Leads Discovery, and workspace out…

使うべきか

品質と安全性

B
説明の品質
89%
スキーマの完全性
83%
命名の品質
64%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

検出事項（73）

  • LOWTool 'support_agent_admin__get_agent' description lacks action verbsupport_agent_admin__get_agent 内
  • LOWTool 'support_agent_admin__get_agent_analytics' description lacks action verbsupport_agent_admin__get_agent_analytics 内
  • LOWTool 'support_agent_admin__set_session_labels' description lacks action verbsupport_agent_admin__set_session_labels 内
  • LOWTool 'support_agent_admin__bulk_set_session_labels' description lacks action verbsupport_agent_admin__bulk_set_session_labels 内
  • LOWTool 'support_agent_admin__compose_bulk_draft' description lacks action verbsupport_agent_admin__compose_bulk_draft 内
  • LOWTool 'google_sheets__converse' description lacks action verbgoogle_sheets__converse 内
  • LOWTool 'google_docs__converse' description lacks action verbgoogle_docs__converse 内
  • LOWTool 'google_calendar__converse' description lacks action verbgoogle_calendar__converse 内
  • LOWTool 'support_agent_admin__list_agents' name length outside 3-30 rangesupport_agent_admin__list_agents 内
  • LOWTool 'support_agent_admin__list_top_agents' name length outside 3-30 rangesupport_agent_admin__list_top_agents 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

~6,112トークン数（ツール定義）
~561 B一般的なレスポンスサイズ
注意への影響は大きい（128k コンテキストの 4.78%）

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": {
    "support-agent-admin": {
      "url": "https://nova.civai.co/mcp/agents/support-agent-admin"
    }
  }
}

リモートエンドポイント

https://nova.civai.co/mcp/agents/support-agent-adminstreamable-http

できること

ツール一覧

ツール（84）

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢support_agent_admin__list_agents(order_by)

List all Support Agents for the signed-in owner.

入力スキーマ

{
  "type": "object",
  "properties": {
    "order_by": {
      "type": "string"
    }
  }
}
🟢support_agent_admin__list_top_agents(limit, order_by)

List busiest CRM agents (limit 5–10).

入力スキーマ

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    },
    "order_by": {
      "type": "string"
    }
  }
}
🟢support_agent_admin__get_agent(agent_id)

Return full agent metadata including chat/public/iframe links.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_agent_analytics(agent_id, top_visitors_limit)

Pipeline overview on one agent_id (totals + top visitors).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "top_visitors_limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__list_sessions(agent_id, filter_by, page, limit, created_from, ...)

Filtered drill-down on visitor sessions (requires filter_by).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "filter_by": {
      "type": "string"
    },
    "page": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    },
    "created_from": {
      "type": "string"
    },
    "created_to": {
      "type": "string"
    },
    "contact_type": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "filter_by"
  ]
}
🟢support_agent_admin__get_chat(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Open a lead chat by visitor_id, email, phone, or contact handle.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__pending_reply_count(agent_id, channels)

Count pending replies on an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channels": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__create_agent(title, instructions, context, contact_option, bulk_followup_enabled, ...)

Create a new Support Agent for CRM/outreach.

入力スキーマ

{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "instructions": {
      "type": "string"
    },
    "context": {
      "type": "string"
    },
    "contact_option": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "bulk_followup_enabled": {
      "type": "boolean"
    },
    "theme": {
      "type": "string"
    },
    "inapp": {
      "type": "boolean"
    },
    "disable_ai_reply": {
      "type": "boolean"
    },
    "file_support": {
      "type": "boolean"
    },
    "allow_list": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "followup_email_message": {
      "type": "string"
    },
    "followup_whatsapp_message": {
      "type": "string"
    },
    "followup_instagram_message": {
      "type": "string"
    },
    "followup_x_message": {
      "type": "string"
    },
    "followup_telegram_message": {
      "type": "string"
    },
    "is_public": {
      "type": "boolean"
    },
    "public_slug": {
      "type": "string"
    },
    "public_description": {
      "type": "string"
    },
    "public_category_id": {
      "type": "integer"
    },
    "description": {
      "type": "string"
    }
  },
  "required": [
    "title",
    "contact_option"
  ]
}
🟡support_agent_admin__update_agent(agent_id, title, instructions, context, contact_option, ...)

Update Support Agent settings (partial patch — only send fields to change).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "title": {
      "type": "string"
    },
    "instructions": {
      "type": "string"
    },
    "context": {
      "type": "string"
    },
    "contact_option": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "bulk_followup_enabled": {
      "type": "boolean"
    },
    "theme": {
      "type": "string"
    },
    "inapp": {
      "type": "boolean"
    },
    "disable_ai_reply": {
      "type": "boolean"
    },
    "file_support": {
      "type": "boolean"
    },
    "allow_list": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "followup_email_message": {
      "type": "string"
    },
    "followup_whatsapp_message": {
      "type": "string"
    },
    "followup_instagram_message": {
      "type": "string"
    },
    "followup_x_message": {
      "type": "string"
    },
    "followup_telegram_message": {
      "type": "string"
    },
    "is_public": {
      "type": "boolean"
    },
    "public_slug": {
      "type": "string"
    },
    "public_description": {
      "type": "string"
    },
    "public_category_id": {
      "type": "integer"
    },
    "description": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__delete_agent(agent_id)

Permanently delete a Support Agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪support_agent_admin__import_contacts(agent_id, channel, telegram_usernames, contacts, emails, ...)

Import contacts onto an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "telegram_usernames": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "contacts": {
      "type": "string"
    },
    "emails": {
      "type": "string"
    },
    "whatsapp_numbers": {
      "type": "string"
    },
    "instagram_usernames": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
🟡support_agent_admin__send_message(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Send follow-up via WhatsApp, email, or Instagram.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    },
    "message": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
🟡support_agent_admin__send_followup(agent_id, visitor_id, visitor_email, whatsapp_no, instagram_username, ...)

Send follow-up via admin_followup channels.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "visitor_email": {
      "type": "string"
    },
    "whatsapp_no": {
      "type": "string"
    },
    "instagram_username": {
      "type": "string"
    },
    "contact": {
      "type": "string",
      "description": "Generic contact from analytics/list_sessions (email, phone, or @instagram)."
    },
    "message": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
⚪support_agent_admin__bulk_followup(agent_id, message, visitor_ids, filter_by)

Bulk follow-up to filtered visitors.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "message": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "filter_by": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
🟢support_agent_admin__list_attachments(agent_id)

List knowledge-base attachments on a Support Agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_attachment_content(agent_id, attachment_id)

Read converted markdown or database schema summary for one attachment.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🟡support_agent_admin__upload_attachments(agent_id, files)

Upload files to agent KB (PDF/DOCX/TXT → prose; CSV/XLSX/SQLite → database).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "files": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "filename": {
            "type": "string"
          },
          "content_base64": {
            "type": "string"
          },
          "content_type": {
            "type": "string"
          }
        },
        "required": [
          "filename",
          "content_base64"
        ]
      },
      "maxItems": 10
    }
  },
  "required": [
    "agent_id",
    "files"
  ]
}
🟢support_agent_admin__regenerate_attachment(agent_id, attachment_id)

Re-process one attachment (re-convert or re-extract schema).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🔴support_agent_admin__delete_attachment(agent_id, attachment_id)

Delete one agent KB attachment.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "attachment_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "attachment_id"
  ]
}
🟢support_agent_admin__get_crm_unreplied_alert_config(agent_id)

Read CRM unreplied digest email settings.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__update_crm_unreplied_alert_config(agent_id, enabled, recipient_emails, min_unreplied)

Update CRM unreplied digest email settings.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "enabled": {
      "type": "boolean"
    },
    "recipient_emails": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "min_unreplied": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__upload_agent_icon(agent_id, content_base64, content_type)

Upload agent icon (JPEG/PNG/WebP, max 2MB, base64).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "content_base64": {
      "type": "string"
    },
    "content_type": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "content_base64"
  ]
}
⚪support_agent_admin__compose_draft(agent_id, visitor_id)

AI-compose a draft reply for one visitor session (Zap; does not send).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
⚪support_agent_admin__end_conversation(agent_id, visitor_id)

Mark visitor conversation ended (stops IG/WA follow-ups).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
⚪support_agent_admin__resume_conversation(agent_id, visitor_id)

Resume a paused visitor conversation.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
🔴support_agent_admin__bulk_delete_sessions(agent_id, visitor_ids)

Delete multiple visitor sessions and their files.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_ids"
  ]
}
🟢support_agent_admin__list_session_labels(agent_id)

List visitor session label catalog for an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__update_session_label(agent_id, label_id, disable_auto_reply)

Update catalog label (e.g. disable_auto_reply).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "label_id": {
      "type": "string"
    },
    "disable_auto_reply": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "label_id"
  ]
}
🟡support_agent_admin__set_session_labels(agent_id, visitor_id, labels)

Replace labels on one visitor session.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_id": {
      "type": "string"
    },
    "labels": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_id"
  ]
}
🟡support_agent_admin__bulk_set_session_labels(agent_id, visitor_ids, labels)

Merge labels onto multiple visitor sessions.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "visitor_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "labels": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "agent_id",
    "visitor_ids"
  ]
}
🟢support_agent_admin__list_channel_accounts(agent_id)

List available channel accounts for assignment (IG, X, Telegram, SMTP).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_whatsapp_account(agent_id, whatsapp_account_id)

Assign or remove WhatsApp Web account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "whatsapp_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_instagram_account(agent_id, instagram_account_id)

Assign or remove Instagram account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "instagram_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_x_account(agent_id, x_account_id)

Assign or remove X account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "x_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_telegram_account(agent_id, telegram_account_id)

Assign or remove Telegram account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "telegram_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_jiji_account(agent_id, jiji_account_id)

Assign or remove Jiji account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "jiji_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🔴support_agent_admin__assign_smtp_account(agent_id, smtp_account_id)

Assign or remove SMTP account on agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "smtp_account_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__set_pool_mode(agent_id, channel, enabled)

Enable/disable pool fallback for x, instagram, or telegram channel.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "x",
        "instagram",
        "telegram"
      ]
    },
    "enabled": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel",
    "enabled"
  ]
}
🟢support_agent_admin__list_followup_runs(agent_id, limit)

List bulk follow-up runs for an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_followup_run(agent_id, run_id)

Get one follow-up run with progress log.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "run_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "run_id"
  ]
}
⚪support_agent_admin__resume_followup_run(agent_id, run_id)

Resume an interrupted follow-up run.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "run_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "run_id"
  ]
}
⚪support_agent_admin__compose_bulk_draft(agent_id)

AI-compose shared bulk follow-up draft (agent voice only).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪support_agent_admin__preview_followup_email(agent_id, message, format, cta_label, cta_url, ...)

Preview rendered follow-up email HTML.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "message": {
      "type": "string"
    },
    "format": {
      "type": "string"
    },
    "cta_label": {
      "type": "string"
    },
    "cta_url": {
      "type": "string"
    },
    "image_url": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "message"
  ]
}
⚪support_agent_admin__export_contacts(agent_id, contact_type, filter_by, created_from, created_to)

Export filtered contacts as CSV (returns csv_content in result).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "contact_type": {
      "type": "string",
      "enum": [
        "email",
        "whatsapp",
        "instagram",
        "x",
        "telegram"
      ]
    },
    "filter_by": {
      "type": "string"
    },
    "created_from": {
      "type": "string"
    },
    "created_to": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "contact_type"
  ]
}
⚪support_agent_admin__transfer_agent_owner(agent_id, new_owner_email)

Transfer agent ownership to another subscribed Nova user.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "new_owner_email": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "new_owner_email"
  ]
}
⚪support_agent_admin__generate_agent_preview(business_name, business_description)

AI-generate agent title/instructions/context from business description.

入力スキーマ

{
  "type": "object",
  "properties": {
    "business_name": {
      "type": "string"
    },
    "business_description": {
      "type": "string"
    }
  },
  "required": [
    "business_name",
    "business_description"
  ]
}
🟢support_agent_admin__list_connectors(agent_id)

List WhatsApp, Instagram, Email, X connector status for a support agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪support_agent_admin__suggest_targets(agent_id, channel, discovery_depth, discovery_breadth, min_followers, ...)

AI-propose Instagram or X @targets for a discovery scan (depth/breadth optional).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "instagram",
        "x"
      ]
    },
    "discovery_depth": {
      "type": "integer"
    },
    "discovery_breadth": {
      "type": "integer"
    },
    "min_followers": {
      "type": "integer"
    },
    "disable_hard_filter": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪support_agent_admin__run_scan(agent_id, channel, params)

Start a leads discovery scan (whatsapp, instagram, x, telegram, or jiji).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪support_agent_admin__continue_scan(agent_id, scan_id, selected_resources, max_contacts_per_group)

Continue a scan paused for selection (WhatsApp/Telegram groups or IG/X targets).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "selected_resources": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "max_contacts_per_group": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "selected_resources"
  ]
}
🟢support_agent_admin__list_scans(agent_id)

List past and active leads discovery scans for an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢support_agent_admin__get_scan(agent_id, scan_id, offset, limit)

Get one scan with paginated leads (status, progress, leads).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🟢support_agent_admin__list_scan_results(agent_id, scan_id, offset, limit)

Alias of get_scan — read leads from an active or completed scan.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🔴support_agent_admin__delete_scans(agent_id, scan_ids)

Delete one or more completed scan runs (does not delete schedules).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "scan_ids"
  ]
}
⚪support_agent_admin__import_leads(agent_id, scan_id, lead_ids, label, outreach)

Import discovered leads into the agent CRM (outreach: none|immediate|bulk_followup).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "lead_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "label": {
      "type": "string"
    },
    "outreach": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "lead_ids"
  ]
}
🔴support_agent_admin__clear_discovery_cache(agent_id)

Clear Leads Discovery scan cache for an agent (seen handles / WA progress).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__create_scan_schedule(agent_id, channel, params, frequency, auto_import, ...)

Create an auto-scan schedule (Import Only or Message now outreach).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "source_scan_id": {
      "type": "string"
    },
    "source_scan_at": {
      "type": "string"
    },
    "run_hour_utc": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
🟢support_agent_admin__list_scan_schedules(agent_id)

List auto-scan schedules for an agent.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡support_agent_admin__update_scan_schedule(agent_id, schedule_id, channel, params, frequency, ...)

Update or pause/resume an auto-scan schedule.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    },
    "run_hour_utc": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🔴support_agent_admin__delete_scan_schedule(agent_id, schedule_id)

Delete an auto-scan schedule.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
⚪support_agent_admin__trigger_scan_schedule(agent_id, schedule_id)

Run an auto-scan schedule immediately (Run now).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🟢support_agent_admin__get_discovery_analytics(agent_id, window)

Get sourced-leads analytics for an agent (window e.g. 7d, 30d).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "window": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡google_sheets__create_sheet(detail)

Run Google sheets action: create sheet

入力スキーマ

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

Run Google sheets action: generate sheet

入力スキーマ

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

Run Google sheets action: list sheets

入力スキーマ

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

Run Google sheets action: get sheet

入力スキーマ

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

Run Google sheets action: update sheet

入力スキーマ

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

Run Google sheets action: delete sheet

入力スキーマ

{
  "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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "reply_hint": {
      "type": "string",
      "description": "Optional hint for the conversational reply."
    }
  }
}
🟡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."
    }
  }
}
🟡google_calendar__add_event(detail)

Run Google calendar action: add event

入力スキーマ

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

Run Google calendar action: check events today

入力スキーマ

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

Run Google calendar action: check events week

入力スキーマ

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

Run Google calendar action: convert timezone

入力スキーマ

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

Run Google calendar action: update event

入力スキーマ

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

Run Google calendar action: delete event

入力スキーマ

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

search_research
Search for information about [topic] using Support Agent Admin by Nova (CIVAI)
想定されるツール: deep_research__conduct-deep-research
find_specific
Find [specific item] using Support Agent Admin by Nova (CIVAI)
想定されるツール: deep_research__conduct-deep-research
retrieve_data
Get details about [item] from Support Agent Admin by Nova (CIVAI)
想定されるツール: support_agent_admin__get_agent
fetch_info
Fetch [information type] using Support Agent Admin by Nova (CIVAI)
想定されるツール: support_agent_admin__get_agent
list_items
List all [items] available in Support Agent Admin by Nova (CIVAI)
想定されるツール: support_agent_admin__list_agents

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