ml_forecast_incidents
Forecast incident volume for the next N days based on historical trends
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/ml-forecast-incidents.md
What ml_forecast_incidents does on NowAIKit — ServiceNow AI Toolkit
AI agents call ml_forecast_incidents to retrieve information from NowAIKit — ServiceNow AI Toolkit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why ml_forecast_incidents is rated Low
The tool reads historical incident data and applies statistical analysis to generate forecasts. It has no side effects, does not create or modify records, does not execute code or commands, and does not affect financial or critical systems. This is a passive analytical operation typical of Read category tools.
From the tool's definition Tool name and description indicate a forecast/analytics function: 'Forecast incident volume for the next N days based on historical trends' — this queries and analyzes historical data to produce predictions, with no modification, deletion, or execution of…
Attacks that exploit this kind of access
The rule that runs ml_forecast_incidents safely
PolicyLayer is an MCP gateway: it sits between your AI agents and NowAIKit — ServiceNow AI Toolkit, 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 is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect NowAIKit — ServiceNow AI Toolkit, apply this rule, and every ml_forecast_incidents call is checked against it from then on.
Questions about ml_forecast_incidents
Forecast incident volume for the next N days based on historical trends. It is categorised as a Read tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it retrieves data without modifying state.
Register the NowAIKit — ServiceNow AI Toolkit 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 NowAIKit — ServiceNow AI Toolkit. Nothing to install.
ml_forecast_incidents is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
ml_forecast_incidents is provided by the NowAIKit — ServiceNow AI Toolkit MCP server (nowaikit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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