ml_model_training_history
Get training run history and accuracy trends for an ML solution over time
This record as markdown: /tools/nowaikit-servicenow-ai-toolkit/ml-model-training-history.md
What ml_model_training_history does on NowAIKit — ServiceNow AI Toolkit
AI agents call ml_model_training_history 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_model_training_history is rated Low
The tool explicitly retrieves (reads) historical training run data and accuracy trends for an ML solution. There are no indications of data modification, execution, deletion, or financial operations. This is a straightforward read/query operation with low blast radius.
From the tool's definition 'Get training run history and accuracy trends' — retrieves historical data with no side effects
Attacks that exploit this kind of access
The rule that runs ml_model_training_history 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_model_training_history, this is the rule to start with:
ml_model_training_history 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_model_training_history call is checked against it from then on.
Questions about ml_model_training_history
Get training run history and accuracy trends for an ML solution over time. 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_model_training_history: 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_model_training_history 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_model_training_history 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_model_training_history. 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_model_training_history 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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