Calculate historical volatility (realized volatility) for multiple periods. Historical volatility measures past price fluctuations and is used to compare with implied volatility to identify potential opportunities. Returns annualized volatility percentages.
AI agents call calculate_historical_volatility to retrieve information from Mcp Financex without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs read-only financial analysis by computing volatility metrics from historical price data. While it operates in a financial domain, it does not execute trades, transfer funds, delete data, or trigger irreversible actions. It is a quantitative analysis tool used for informational purposes (comparing historical vs. implied volatility to 'identify potential opportunities').
From the tool's definition Tool description states it 'Calculate[s] historical volatility' and 'Returns annualized volatility percentages.' These are computational analysis operations that retrieve and calculate existing market data without modifying, executing external operations,…
Attacks that exploit this kind of access
Calculate historical volatility (realized volatility) for multiple periods. Historical volatility measures past price fluctuations and is used to compare with implied volatility to identify potential opportunities. Returns annualized volatility percentages. It is categorised as a Read tool in the Mcp Financex MCP Server, which means it retrieves data without modifying state.
Register the Mcp Financex MCP server in PolicyLayer and add a rule for calculate_historical_volatility: 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 Mcp Financex. Nothing to install.
calculate_historical_volatility 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 calculate_historical_volatility 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 calculate_historical_volatility. 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.
calculate_historical_volatility is provided by the Mcp Financex MCP server (xerktech/mcp-financex). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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