# ml_train_change_risk

Trigger training of the change risk prediction ML model. [Write]

Agent View of the PolicyLayer registry record for `ml_train_change_risk`. HTML page: https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/ml-train-change-risk

## Facts

- Tool: `ml_train_change_risk`
- Server: NowAIKit — ServiceNow AI Toolkit (`nowaikit`) — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit.md
- Install: `npx -y nowaikit`
- Homepage: https://github.com/aartiq/nowaikit
- Risk category: Execute (High risk)
- Registry record: grade F, identity verified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "ml_train_change_risk",
    "arguments": {}
  }
}
```

## Why ml_train_change_risk is rated High

Although labeled '[Write]' in the description, training an ML model is not merely creating or modifying data reversibly; it executes a complex computational operation whose effects on system state and model behavior depend on the training data and parameters. This is an Execute category action because it runs an external operation (ML training) whose consequences are not simple data mutations.

From the tool's own definition: "Tool description states 'Trigger training of the change risk prediction ML model' — the word 'trigger' indicates initiation of an ML training operation, which is a computational process with external effects (model state changes, resource consumption, system…"

## Use case

AI agents invoke ml_train_change_risk to trigger actions in NowAIKit — ServiceNow AI Toolkit. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches NowAIKit — ServiceNow AI Toolkit:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ml_train_change_risk": {
      "limits": [
        {
          "counter": "ml_train_change_risk_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on NowAIKit — ServiceNow AI Toolkit (409)

- `cmdb_reconcile` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/cmdb-reconcile.md
- `delete_attachment` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/delete-attachment.md
- `delete_record` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/delete-record.md
- `delete_system_property` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/delete-system-property.md
- `delete_uib_page` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/delete-uib-page.md
- `remove_user_from_group` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/remove-user-from-group.md
- `rollback_changes` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/rollback-changes.md
- `rollback_deployment` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/rollback-deployment.md
- `visualize_aggregate` — Destructive — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/visualize-aggregate.md
- `batch_request` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/batch-request.md
- `categorize_incident` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/categorize-incident.md
- `commit_changeset` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/commit-changeset.md
- `create_business_rule` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/create-business-rule.md
- `create_flow_action` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/create-flow-action.md
- `create_scheduled_job` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/create-scheduled-job.md
- `execute_background_script` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/execute-background-script.md
- `execute_playbook` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/execute-playbook.md
- `execute_script` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/execute-script.md
- `fire_event` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/fire-event.md
- `fluent_build` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/fluent-build.md
- `fluent_explain` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/fluent-explain.md
- `fluent_init` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/fluent-init.md
- `fluent_validate` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/fluent-validate.md
- `ml_detect_anomalies` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/ml-detect-anomalies.md
- `ml_train_anomaly_detector` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/ml-train-anomaly-detector.md
- `ml_train_incident_classifier` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/ml-train-incident-classifier.md
- `publish_changeset` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/publish-changeset.md
- `run_aggregate_query` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/run-aggregate-query.md
- `run_atf_suite` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/run-atf-suite.md
- `run_atf_test` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/run-atf-test.md
- …and 379 more: https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=nowaikit-servicenow-ai-toolkit · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/nowaikit-servicenow-ai-toolkit