Access the latest disclosures from mutual funds and ETFs with the FMP Mutual Fund & ETF Disclosure API. This API provides updates on filings, changes in holdings, and other critical disclosure data for mutual funds and ETFs.
AI agents call getDisclosure to retrieve information from Financial Modeling Prep MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
getDisclosure retrieves publicly available disclosure information about mutual fund and ETF holdings and filings. It performs data lookups only, with no side effects, modifications, or irreversible actions. The blast radius of misuse is minimal—an AI could access disclosure data inappropriately but cannot modify holdings, execute trades, or cause financial harm through this read operation alone.
From the tool's definition Tool description states 'Access the latest disclosures' and 'provides updates on filings, changes in holdings, and other critical disclosure data' — these are retrieval/query operations with no modification capabilities.
Attacks that exploit this kind of access
Access the latest disclosures from mutual funds and ETFs with the FMP Mutual Fund & ETF Disclosure API. This API provides updates on filings, changes in holdings, and other critical disclosure data for mutual funds and ETFs. It is categorised as a Read tool in the Financial Modeling Prep MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Financial Modeling Prep MCP Server MCP server in PolicyLayer and add a rule for getDisclosure: 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 Financial Modeling Prep MCP Server. Nothing to install.
getDisclosure 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 getDisclosure 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 getDisclosure. 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.
getDisclosure is provided by the Financial Modeling Prep MCP Server MCP server (vijitdaroch/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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