AI agents call get_releases to retrieve information from Mcp Fred without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about economic data releases and their schedules from the Federal Reserve. It performs a query operation without creating, modifying, deleting, or executing anything. The action is read-only and has no side effects. Even if misused by an AI agent, it can only fetch public economic information, posing minimal security risk.
From the tool's definition Tool name 'get_releases' and description 'Get economic data releases and schedules' indicate a retrieval operation with no modification or execution capability.
Attacks that exploit this kind of access
Get economic data releases and schedules. It is categorised as a Read tool in the Mcp Fred MCP Server, which means it retrieves data without modifying state.
Register the Mcp Fred MCP server in PolicyLayer and add a rule for get_releases: 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 Fred. Nothing to install.
get_releases 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 get_releases 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 get_releases. 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.
get_releases is provided by the Mcp Fred MCP server (petrefiedthunder/mcp-fred). 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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