ml_predict_change_risk

Predict the risk level of a change request using historical ML analysis

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-predict-change-risk.md

What ml_predict_change_risk does on ServiceNow MCP Server

AI agents call ml_predict_change_risk 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.

Why ml_predict_change_risk is rated Low

The tool generates predictions using machine learning analysis of historical data. This is a read-only analytical operation that retrieves and processes existing information to provide a risk assessment. No data is created, modified, deleted, or executed. The output is informational only and does not trigger side effects on the system.

From the tool's definition Tool name 'ml_predict_change_risk' and description 'Predict the risk level of a change request using historical ML analysis' indicate this performs analysis and prediction based on existing data without modifying, deleting, or executing external operations.

Questions about ml_predict_change_risk

What does the ml_predict_change_risk tool do? +

Predict the risk level of a change request using historical ML analysis. 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_predict_change_risk? +

Register the ServiceNow MCP Server MCP server in PolicyLayer and add a rule for ml_predict_change_risk: 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_predict_change_risk? +

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

Can I rate-limit ml_predict_change_risk? +

Yes. Add a rate_limit block to the ml_predict_change_risk 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_predict_change_risk completely? +

Set action: deny in the PolicyLayer policy for ml_predict_change_risk. 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_predict_change_risk? +

ml_predict_change_risk 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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