snow_train_va_nlu
Trigger training of a Virtual Agent NLU model by model_id via /api/now/v1/va/models/{id}/train. Training runs asynchronously on the platform; this call only starts the job.
This record as markdown: /tools/serac/snow-train-va-nlu.md
What snow_train_va_nlu does on Serac
AI agents invoke snow_train_va_nlu to trigger actions in Serac. 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.
Why snow_train_va_nlu is rated High
This tool initiates an asynchronous training job on the ServiceNow platform. While not immediately destructive, it executes a significant computational operation whose effects depend on the model_id argument and the training data/configuration involved.
From the tool's definition Trigger training of a Virtual Agent NLU model...Training runs asynchronously on the platform; this call only starts the job.
Attacks that exploit this kind of access
The rule that runs snow_train_va_nlu safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Serac, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For snow_train_va_nlu, this is the rule to start with:
snow_train_va_nlu stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Serac, apply this rule, and every snow_train_va_nlu call is checked against it from then on.
Questions about snow_train_va_nlu
Trigger training of a Virtual Agent NLU model by model_id via /api/now/v1/va/models/{id}/train. Training runs asynchronously on the platform; this call only starts the job. It is categorised as a Execute tool in the Serac MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Serac MCP server in PolicyLayer and add a rule for snow_train_va_nlu: 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 Serac. Nothing to install.
snow_train_va_nlu is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the snow_train_va_nlu 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 snow_train_va_nlu. 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.
snow_train_va_nlu is provided by the Serac MCP server (serac-labs/serac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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