Run a tailored Discounted Cash Flow (DCF) analysis using the FMP Custom DCF Advanced API. With detailed inputs, this API allows users to fine-tune their assumptions and variables, offering a more personalized and precise valuation for a company.
Risk signalsHigh parameter count (20 properties)
Part of the Financial Modeling Prep (FMP) Server server.
Free to start. No card required.
AI agents invoke calculateCustomLeveredDCF to trigger processes or run actions in Financial Modeling Prep (FMP) Server . Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
calculateCustomLeveredDCF can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"calculateCustomLeveredDCF": {
"limits": [
{
"counter": "calculatecustomlevereddcf_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Financial Modeling Prep (FMP) Server policy for all 253 tools.
These attack patterns abuse exactly the kind of access calculateCustomLeveredDCF gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Run a tailored Discounted Cash Flow (DCF) analysis using the FMP Custom DCF Advanced API. With detailed inputs, this API allows users to fine-tune their assumptions and variables, offering a more personalized and precise valuation for a company.. It is categorised as a Execute tool in the Financial Modeling Prep (FMP) Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for calculateCustomLeveredDCF: 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 (FMP) Server . Nothing to install.
calculateCustomLeveredDCF is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the calculateCustomLeveredDCF 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 calculateCustomLeveredDCF. 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.
calculateCustomLeveredDCF is provided by the Financial Modeling Prep (FMP) Server MCP server (imbenrabi/financial-modeling-prep-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 253 Financial Modeling Prep (FMP) Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.