Compute returns for a weekly forward-filled series.
AI agents call ram_returns to retrieve information from RAM Prices MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a calculation (return computation) on existing time-series data. Computing returns is a standard financial analytics operation that retrieves and transforms data without side effects, reversible modifications, destructive actions, or financial transactions. It fits the Read category as it queries/analyzes data with no state changes to the system.
From the tool's definition The tool 'ram_returns' computes returns for a weekly forward-filled series, which is a read-only analytical operation that derives statistics from cached price data without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
Compute returns for a weekly forward-filled series. It is categorised as a Read tool in the RAM Prices MCP Server MCP Server, which means it retrieves data without modifying state.
Register the RAM Prices MCP Server MCP server in PolicyLayer and add a rule for ram_returns: 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 RAM Prices MCP Server. Nothing to install.
ram_returns 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 ram_returns 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 ram_returns. 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.
ram_returns is provided by the RAM Prices MCP Server MCP server (xeonvs/ddr-price-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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