correlation_calc
Compute Pearson correlation coefficient, r-squared, covariance, and linear regression between two numeric arrays.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/correlation-calc.md
What correlation_calc does on UnClick
AI agents call correlation_calc to retrieve information from UnClick without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
x | array | Yes | First data array |
y | array | Yes | Second data array |
Parameters from the server's own tool schema.
Why correlation_calc is rated Low
This is a pure mathematical/statistical calculation tool. It takes numeric inputs and returns computed statistics. There are no side effects, no data persistence changes, no external system interactions, no code execution, and no financial impact. The tool falls squarely into the Read category as it only processes and returns analytical results without modifying any underlying data or triggering external operations.
From the tool's definition Tool computes statistical metrics (Pearson correlation coefficient, r-squared, covariance, linear regression) on provided numeric arrays. Keywords: 'Compute' indicates calculation-only operation with no data modification, deletion, or external execution.
Attacks that exploit this kind of access
The rule that runs correlation_calc safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For correlation_calc, this is the rule to start with:
correlation_calc 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 UnClick, apply this rule, and every correlation_calc call is checked against it from then on.
Questions about correlation_calc
Compute Pearson correlation coefficient, r-squared, covariance, and linear regression between two numeric arrays. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
correlation_calc accepts 2 parameters: x, y. Required: x, y. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for correlation_calc: 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 UnClick. Nothing to install.
correlation_calc 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 correlation_calc 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 correlation_calc. 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.
correlation_calc is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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