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Support Agent Admin by Nova (CIVAI)

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

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
89%
Vollständigkeit des Schemas
83%
Qualität der Benennung
64%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (73)

  • LOWTool 'support_agent_admin__get_agent' description lacks action verbin support_agent_admin__get_agent
  • LOWTool 'support_agent_admin__get_agent_analytics' description lacks action verbin support_agent_admin__get_agent_analytics
  • LOWTool 'support_agent_admin__set_session_labels' description lacks action verbin support_agent_admin__set_session_labels
  • LOWTool 'support_agent_admin__bulk_set_session_labels' description lacks action verbin support_agent_admin__bulk_set_session_labels
  • LOWTool 'support_agent_admin__compose_bulk_draft' description lacks action verbin support_agent_admin__compose_bulk_draft
  • LOWTool 'google_sheets__converse' description lacks action verbin google_sheets__converse
  • LOWTool 'google_docs__converse' description lacks action verbin google_docs__converse
  • LOWTool 'google_calendar__converse' description lacks action verbin google_calendar__converse
  • LOWTool 'support_agent_admin__list_agents' name length outside 3-30 rangein support_agent_admin__list_agents
  • LOWTool 'support_agent_admin__list_top_agents' name length outside 3-30 rangein support_agent_admin__list_top_agents

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~6,112Tokens (Tool-Definitionen)
~561 BTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (4.78% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

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

Was es kann

Tool-Inventar

Tools (84)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢support_agent_admin__list_agents(order_by)

List all Support Agents for the signed-in owner.

Eingabe-Schema

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

List busiest CRM agents (limit 5–10).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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).

Eingabe-Schema

{
  "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).

Eingabe-Schema

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

Run Google sheets action: create sheet

Eingabe-Schema

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

Run Google sheets action: generate sheet

Eingabe-Schema

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

Run Google sheets action: list sheets

Eingabe-Schema

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

Run Google sheets action: get sheet

Eingabe-Schema

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

Run Google sheets action: update sheet

Eingabe-Schema

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

Run Google sheets action: delete sheet

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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

Eingabe-Schema

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

Run Google docs action: list docs

Eingabe-Schema

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

Run Google docs action: get doc

Eingabe-Schema

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

Run Google docs action: rewrite doc

Eingabe-Schema

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

Run Google docs action: delete doc

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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

Eingabe-Schema

{
  "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

Eingabe-Schema

{
  "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

Eingabe-Schema

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

Run Google calendar action: convert timezone

Eingabe-Schema

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

Run Google calendar action: update event

Eingabe-Schema

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

Run Google calendar action: delete event

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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"
  ]
}

Empfohlene Prompts

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

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