ml_forecast_incidents

Forecast incident volume for the next N days based on historical trends

SERVERServiceNow MCP Server SOURCE@aartiq/servicenow-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/servicenow-mcp-server/ml-forecast-incidents.md

WHAT IT DOES

What ml_forecast_incidents does on ServiceNow MCP Server

AI agents call ml_forecast_incidents to retrieve information from ServiceNow MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why ml_forecast_incidents is rated Low

This tool retrieves and analyzes historical incident data to produce a forecast—a read-only analytical operation with no side effects on the ServiceNow instance or external systems. It is purely informational and does not create, modify, delete, or trigger irreversible changes.

From the tool's definition Tool name 'ml_forecast_incidents' and description 'Forecast incident volume for the next N days based on historical trends' indicate a predictive analysis operation that queries historical data to generate forecasts.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ml_forecast_incidents safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ServiceNow MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ml_forecast_incidents, this is the rule to start with:

ml_forecast_incidents Allowed

ml_forecast_incidents is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ml_forecast_incidents": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ServiceNow MCP Server, apply this rule, and every ml_forecast_incidents call is checked against it from then on.

FAQ

Questions about ml_forecast_incidents

What does the ml_forecast_incidents tool do? +

Forecast incident volume for the next N days based on historical trends. It is categorised as a Read tool in the ServiceNow MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ml_forecast_incidents? +

Register the ServiceNow MCP Server MCP server in PolicyLayer and add a rule for ml_forecast_incidents: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ServiceNow MCP Server. Nothing to install.

What risk level is ml_forecast_incidents? +

ml_forecast_incidents is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ml_forecast_incidents? +

Yes. Add a rate_limit block to the ml_forecast_incidents rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block ml_forecast_incidents completely? +

Set action: deny in the PolicyLayer policy for ml_forecast_incidents. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides ml_forecast_incidents? +

ml_forecast_incidents is provided by the ServiceNow MCP Server MCP server (@aartiq/servicenow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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