# ml_train_anomaly_detector

Trigger training of an anomaly detection model for a specific table/field. [Write]

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

## Facts

- Tool: `ml_train_anomaly_detector`
- 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_anomaly_detector",
    "arguments": {}
  }
}
```

## Why ml_train_anomaly_detector is rated High

Although labeled '[Write]' in the description, the core action is triggering an ML training pipeline. This is an Execute-category action because: (1) it initiates an external computational process (model training), (2) the effects depend on the data provided and ML algorithm behavior, and (3) retraining models can consume significant resources and overwrite previous model states.

From the tool's own definition: "Tool description states 'Trigger training of an anomaly detection model' — triggers model training, which is a computational operation with side effects that cannot be easily reversed or undone."

## Use case

AI agents invoke ml_train_anomaly_detector 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_anomaly_detector": {
      "limits": [
        {
          "counter": "ml_train_anomaly_detector_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_change_risk` — Execute — https://policylayer.com/tools/nowaikit-servicenow-ai-toolkit/ml-train-change-risk.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