AI agents call econ.fred-vintage to retrieve information from Mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool fetches historical economic data from the Federal Reserve Economic Data (FRED) database. It is a read-only query operation that retrieves pre-existing data without side effects, modification, execution, or financial transactions. The 'vintage' qualifier indicates it accesses archival versions of data, reinforcing its read-only nature.
From the tool's definition Tool description states it retrieves 'Point-in-time (vintage) economic data from FRED' — a historical data query operation with no modification or execution capability.
Attacks that exploit this kind of access
Point-in-time (vintage) economic data from FRED. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
Register the MCP server in PolicyLayer and add a rule for econ.fred-vintage: 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. Nothing to install.
econ.fred-vintage 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 econ.fred-vintage 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 econ.fred-vintage. 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.
econ.fred-vintage is provided by the MCP server (@2sio/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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