ml_predict_change_risk
Predict the risk level of a change request using historical ML analysis
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/ml-predict-change-risk.md
What ml_predict_change_risk does on NowAIKit — ServiceNow AI Toolkit
AI agents call ml_predict_change_risk 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_predict_change_risk is rated Low
This tool retrieves ML-based predictions about change risk as metadata/intelligence. It does not execute changes, modify records, delete data, or commit financial obligations. The prediction itself is informational and advisory in nature. Misuse would have minimal blast radius — an incorrect risk prediction is output data that humans must still approve before any actual change executes.
From the tool's definition Tool description states it 'Predict[s] the risk level' using 'historical ML analysis' — a read-only query operation that analyzes and returns risk predictions without modifying any data or triggering external actions.
Attacks that exploit this kind of access
The rule that runs ml_predict_change_risk 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_predict_change_risk, this is the rule to start with:
ml_predict_change_risk 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_predict_change_risk call is checked against it from then on.
Questions about ml_predict_change_risk
Predict the risk level of a change request using historical ML analysis. 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_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 NowAIKit — ServiceNow AI Toolkit. Nothing to install.
ml_predict_change_risk 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_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.
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.
ml_predict_change_risk 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.
More on NowAIKit — ServiceNow AI Toolkit, and thousands of servers like it.
This server
Across the catalogue