ml_auto_categorize

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

SERVERServiceNow MCP Server SOURCE@aartiq/servicenow-mcp

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/servicenow-mcp-server/ml-auto-categorize.md

WHAT IT DOES

What ml_auto_categorize does on ServiceNow MCP Server

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

RISK

Why ml_auto_categorize is rated Medium

This tool modifies an existing record by updating its category field based on ML analysis. It is a write operation (updating record metadata) rather than purely read, though it uses analysis of existing records to determine the update. The blast radius is medium — miscategorization could misdirect work items but is generally reversible.

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ml_auto_categorize safely

PolicyLayer is an MCP gateway: it sits between your AI agents and ServiceNow MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ml_auto_categorize, this is the rule to start with:

ml_auto_categorize Rate-limited

ml_auto_categorize stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ml_auto_categorize": {
      "limits": [
        {
          "counter": "ml_auto_categorize_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ServiceNow MCP Server, apply this rule, and every ml_auto_categorize call is checked against it from then on.

FAQ

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 ServiceNow MCP Server 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 ServiceNow MCP Server 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 ServiceNow MCP Server. 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 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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