Compute RSI (Wilder). Inputs: values:number[] (oldest→newest), period?:number(14). Returns latest RSI.
AI agents call ta_rsi to retrieve information from CG Alpha MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a pure mathematical computation (Relative Strength Index) on provided numeric data. It has no side effects, does not modify or delete any data, and simply returns a calculated value. It is a read/compute operation with minimal risk.
From the tool's definition Compute RSI (Wilder)... Returns latest RSI
Attacks that exploit this kind of access
Compute RSI (Wilder). Inputs: values:number[] (oldest→newest), period?:number(14). Returns latest RSI. It is categorised as a Read tool in the CG Alpha MCP MCP Server, which means it retrieves data without modifying state.
Register the CG Alpha MCP server in PolicyLayer and add a rule for ta_rsi: 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 CG Alpha MCP. Nothing to install.
ta_rsi 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 ta_rsi 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 ta_rsi. 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.
ta_rsi is provided by the CG Alpha MCP server (jcf0/cg-alpha-mcp). 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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