Analyze a company’s value with the FMP Levered Discounted Cash Flow (DCF) API, which incorporates the impact of debt. This API provides post-debt company valuation, offering investors a more accurate measure of a company
AI agents call getLeveredDCFValuation 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.
This tool retrieves and calculates financial valuation metrics based on existing company data. It performs a read-only analysis operation that generates insights without creating, modifying, deleting, or executing any external operations. The 'get' prefix and 'Analyze...provides' language confirm it is a data retrieval and computation tool with no destructive, financial transaction, or code execution capabilities.
From the tool's definition Tool name 'getLeveredDCFValuation' and description 'Analyze a company's value' and 'provides post-debt company valuation' indicate data retrieval and analysis with no modification or side effects.
Attacks that exploit this kind of access
Analyze a company’s value with the FMP Levered Discounted Cash Flow (DCF) API, which incorporates the impact of debt. This API provides post-debt company valuation, offering investors a more accurate measure of a company. 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 getLeveredDCFValuation: 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.
getLeveredDCFValuation 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 getLeveredDCFValuation 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 getLeveredDCFValuation. 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.
getLeveredDCFValuation 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.
Teams ship this data inside their own products. See what a licence covers →