ml_predict_change_risk

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

Server ServiceNow-MCP tedorigawa001/servicenow-mcp
Category Read
Risk class Low
Parameters 00 required

What ml_predict_change_risk does on ServiceNow-MCP

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

Why ml_predict_change_risk needs a policy

This tool performs machine learning inference on historical data to generate a risk prediction. It is a read-only operation that retrieves analysis results without creating, modifying, deleting, or executing any state-changing actions. The prediction output informs decision-making but does not itself execute changes to the ServiceNow 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 a predictive/analytical operation that queries and analyzes existing data without modifying state.

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 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 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. 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 (tedorigawa001/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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