calculateCustomDCF
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.
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What calculateCustomDCF does on Financial Modeling Prep (FMP) Server
AI agents invoke calculateCustomDCF to trigger actions in Financial Modeling Prep (FMP) Server . What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
input | object | — |
Parameters from the server's own tool schema.
Why calculateCustomDCF is rated High
The tool triggers an external API call that performs a complex financial calculation (DCF valuation) based on user inputs. It does not move money or commit financial obligations, nor does it read static data — it executes a dynamic analytical computation. Severity is medium because misuse could produce misleading valuations influencing investment decisions, but no direct financial transactions occur.
From the tool's definition 'Run a tailored Discounted Cash Flow (DCF) analysis' and 'fine-tune their assumptions and variables' — this tool executes a financial computation/model against an external API with user-supplied parameters
Risk signalsHigh parameter count (20 properties)
Attacks that exploit this kind of access
The rule that runs calculateCustomDCF safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep (FMP) Server , and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For calculateCustomDCF, this is the rule to start with:
calculateCustomDCF stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep (FMP) Server , apply this rule, and every calculateCustomDCF call is checked against it from then on.
Questions about calculateCustomDCF
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.
calculateCustomDCF accepts 1 parameter: input. The full parameter table on this page comes from the server's own tool schema.
Register the Financial Modeling Prep (FMP) Server MCP server in PolicyLayer and add a rule for calculateCustomDCF: 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.
calculateCustomDCF 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 calculateCustomDCF 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 calculateCustomDCF. 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.
calculateCustomDCF 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.
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