ml_virtual_agent_nlu
Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/ml-virtual-agent-nlu.md
What ml_virtual_agent_nlu does on NowAIKit — ServiceNow AI Toolkit
AI agents call ml_virtual_agent_nlu to retrieve information from NowAIKit — ServiceNow AI Toolkit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why ml_virtual_agent_nlu is rated Low
This tool analyzes and retrieves performance metrics from a Virtual Agent NLU system. The verb 'Analyse' and the specific metrics mentioned (completion rates, fallback metrics) indicate read-only querying of existing data. There is no evidence of creating, modifying, deleting data or executing external operations. The blast radius of misuse is limited to potential exposure of performance analytics data.
From the tool's definition Tool name 'ml_virtual_agent_nlu' and description 'Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics' indicates data retrieval and analysis of performance metrics with no modification or execution of external operations.
Attacks that exploit this kind of access
The rule that runs ml_virtual_agent_nlu safely
PolicyLayer is an MCP gateway: it sits between your AI agents and NowAIKit — ServiceNow AI Toolkit, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ml_virtual_agent_nlu, this is the rule to start with:
ml_virtual_agent_nlu is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect NowAIKit — ServiceNow AI Toolkit, apply this rule, and every ml_virtual_agent_nlu call is checked against it from then on.
Questions about ml_virtual_agent_nlu
Analyse Virtual Agent NLU performance — conversation completion rates and fallback metrics. It is categorised as a Read tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it retrieves data without modifying state.
Register the NowAIKit — ServiceNow AI Toolkit MCP server in PolicyLayer and add a rule for ml_virtual_agent_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 NowAIKit — ServiceNow AI Toolkit. Nothing to install.
ml_virtual_agent_nlu is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the ml_virtual_agent_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 ml_virtual_agent_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.
ml_virtual_agent_nlu 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.
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