correlation_analysis
Compute correlation matrices (Pearson, Spearman, or Kendall) with significance testing and strong-correlation detection.
This record as markdown: /tools/io-github-iowarp-adios-mcp/correlation-analysis.md
What correlation_analysis does on CLIO Adios
AI agents call correlation_analysis to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why correlation_analysis is rated Low
Correlation analysis is a statistical computation that analyzes data in a read-only fashion. It retrieves data, processes it mathematically, and returns results without side effects, reversible modifications, or irreversible deletions. No code execution, data mutation, or financial operations are involved. This is a classic analytical read operation on scientific data.
From the tool's definition Tool performs computation on existing data ('correlation matrices', 'significance testing', 'strong-correlation detection') without modifying, deleting, or executing arbitrary operations on the underlying BP5 data files.
Attacks that exploit this kind of access
The rule that runs correlation_analysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and CLIO Adios, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For correlation_analysis, this is the rule to start with:
correlation_analysis 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 CLIO Adios, apply this rule, and every correlation_analysis call is checked against it from then on.
Questions about correlation_analysis
Compute correlation matrices (Pearson, Spearman, or Kendall) with significance testing and strong-correlation detection. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.
Register the CLIO Adios MCP server in PolicyLayer and add a rule for correlation_analysis: 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 CLIO Adios. Nothing to install.
correlation_analysis 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_analysis 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_analysis. 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_analysis is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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