ml_auto_categorize

Auto-categorize a record based on its description by analysing resolved records of the same table.

Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/ml-auto-categorize.md

What ml_auto_categorize does on NowAIKit — ServiceNow AI Toolkit

AI agents use ml_auto_categorize to create or update resources in NowAIKit — ServiceNow AI Toolkit, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your NowAIKit — ServiceNow AI Toolkit environment.

Why ml_auto_categorize is rated Medium

The tool modifies a record by writing a category value to it, which is a reversible data change (Write). It also performs analysis on existing records to derive the category, but the primary effect is updating/categorizing the target record. Misuse could result in incorrect categorization of records at scale, but changes are reversible.

From the tool's definition Auto-categorize a record based on its description by analysing resolved records of the same table.

Questions about ml_auto_categorize

What does the ml_auto_categorize tool do? +

Auto-categorize a record based on its description by analysing resolved records of the same table. It is categorised as a Write tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ml_auto_categorize? +

Register the NowAIKit — ServiceNow AI Toolkit MCP server in PolicyLayer and add a rule for ml_auto_categorize: 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.

What risk level is ml_auto_categorize? +

ml_auto_categorize is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit ml_auto_categorize? +

Yes. Add a rate_limit block to the ml_auto_categorize 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_auto_categorize completely? +

Set action: deny in the PolicyLayer policy for ml_auto_categorize. 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_auto_categorize? +

ml_auto_categorize 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.

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