regression_fit
Fit a linear regression (y = mx + b) to x/y data points, returns slope, intercept, R-squared.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/regression-fit.md
What regression_fit does on UnClick
AI agents call regression_fit 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 | Array of x values (numbers). |
y | array | Yes | Array of y values (numbers). |
Parameters from the server's own tool schema.
Why regression_fit is rated Low
This tool takes numerical data as input and produces statistical outputs (slope, intercept, R²) without altering the original data, executing system commands, deleting resources, or involving financial transactions. It is a mathematical computation utility similar to a query or search, making it a Read operation with minimal risk.
From the tool's definition Tool performs 'Fit a linear regression' and 'returns slope, intercept, R-squared' — a purely computational analysis of provided data with no modification, deletion, or side effects.
Attacks that exploit this kind of access
The rule that runs regression_fit 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 regression_fit, this is the rule to start with:
regression_fit 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 regression_fit call is checked against it from then on.
Questions about regression_fit
Fit a linear regression (y = mx + b) to x/y data points, returns slope, intercept, R-squared. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
regression_fit 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 regression_fit: 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.
regression_fit 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 regression_fit 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 regression_fit. 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.
regression_fit 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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