Access comprehensive data on ETFs and mutual funds with the FMP ETF & Mutual Fund Information API. Retrieve essential details such as ticker symbol, fund name, expense ratio, assets under management, and more.
AI agents call getFundInfo 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.
getFundInfo accesses and retrieves existing financial data about ETFs and mutual funds (ticker, name, expense ratio, AUM). This is a pure read operation with no side effects, no data modification, no execution capability, and no financial transactions. Even in the context of a financial data server, reading public fund information poses minimal risk to an AI agent—the data returned is informational only.
From the tool's definition Tool description specifies 'Retrieve essential details such as ticker symbol, fund name, expense ratio, assets under management, and more' - indicating data retrieval with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
Access comprehensive data on ETFs and mutual funds with the FMP ETF & Mutual Fund Information API. Retrieve essential details such as ticker symbol, fund name, expense ratio, assets under management, and more. 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 getFundInfo: 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.
getFundInfo 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 getFundInfo 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 getFundInfo. 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.
getFundInfo 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.
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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