Score features using univariate statistical tests.
AI agents call statistical_feature_scores to retrieve information from Feature Evaluation MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Univariate statistical scoring is a non-mutating analytical operation that examines data relationships and computes statistics. It retrieves and processes existing data to generate insights (feature scores) but does not create, modify, delete, or execute external operations. This is a pure Read category tool with minimal risk when misused.
From the tool's definition Tool performs univariate statistical tests to score features, which are analytical operations that retrieve and compute metrics from data without modifying it.
Attacks that exploit this kind of access
Score features using univariate statistical tests. It is categorised as a Read tool in the Feature Evaluation MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Feature Evaluation MCP Server MCP server in PolicyLayer and add a rule for statistical_feature_scores: 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 Feature Evaluation MCP Server. Nothing to install.
statistical_feature_scores 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 statistical_feature_scores 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 statistical_feature_scores. 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.
statistical_feature_scores is provided by the Feature Evaluation MCP Server MCP server (jaivardhan1209/featureengineering). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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