Analytics & Insights Read Only

Check Workload Alerts Through Your AI Assistant

Ask your AI assistant to surface DeskMonitor workload alerts — employees over or under hours, anomalies, and flags that need attention.

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What This Command Does

Managers and HR administrators use this command to proactively identify workload imbalances before they become problems. It surfaces employees who are significantly over their hours (burnout risk) or under (disengagement or scheduling issue) for the current period.

get_workload_alerts

Use when a user wants to see current workload anomalies such as employees significantly over or under their scheduled hours.

Example Questions You Can Ask

"Are there any workload alerts?"

"Who is working too many hours this week?"

"Show me employees flagged for overtime"

"Any workload anomalies I should know about?"

What You'll Get Back

Returns a list of active workload alerts with the employee name, alert type (over-hours, under-hours, irregular schedule), current hours vs expected, and a recommended action.

Example Response

{
  "alerts": [
    {
      "employee": "Chris Park",
      "alertType": "Over-hours",
      "hoursWorked": 52.0,
      "hoursExpected": 40.0,
      "recommendation": "Review schedule and consider redistributing tasks."
    }
  ],
  "total": 1
}

How to Use This Command

1

Connect your AI client to TheDeskMonitor

Go to Integrations > AI Connect and follow the MCP setup guide for Claude Desktop, Gemini CLI, GitHub Copilot, or any MCP-compatible client.

2

Ask your question in plain English

Type or speak your question. The get_workload_alerts command is invoked automatically via MCP.

3

Review the response

Returns a list of active workload alerts with the employee name, alert type (over-hours, under-hours, irregular schedule), current hours vs expected, and a recommended action. For full charts, history, and exports, open TheDeskMonitor directly.

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