calculateCustomLeveredDCF

SERVERFinancial Modeling Prep SOURCEcfocoder/financial-modeling-prep-mcp-server

High RISK CLASS

Category Execute

Parameters 10 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/cfocoder-financial-modeling-prep-mcp-server/calculatecustomlevereddcf.md

WHAT IT DOES

What calculateCustomLeveredDCF does on Financial Modeling Prep

AI agents invoke calculateCustomLeveredDCF to trigger actions in Financial Modeling Prep. 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.

RISK

Why calculateCustomLeveredDCF is rated High

While the tool accesses financial data (which could be Read), the core function is to execute a complex financial calculation/analysis engine with user-defined parameters. This is Execute because it runs code/algorithms whose output depends on the arguments provided. It is not Destructive (no data deleted), Financial (no money moves), or Write (no persistent data modification to the server).

From the tool's definition Tool runs a DCF analysis calculation with 'fine-tune their assumptions and variables' — this performs a computational operation that processes user-supplied inputs to generate financial modeling outputs.

Risk signalsHigh parameter count (20 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs calculateCustomLeveredDCF safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Financial Modeling Prep, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For calculateCustomLeveredDCF, this is the rule to start with:

calculateCustomLeveredDCF Rate-limited

calculateCustomLeveredDCF 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "calculateCustomLeveredDCF": {
      "limits": [
        {
          "counter": "calculatecustomlevereddcf_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Financial Modeling Prep, apply this rule, and every calculateCustomLeveredDCF call is checked against it from then on.

FAQ

Questions about calculateCustomLeveredDCF

What does the calculateCustomLeveredDCF tool do? +

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 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does calculateCustomLeveredDCF accept? +

calculateCustomLeveredDCF accepts 1 parameter: input. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on calculateCustomLeveredDCF? +

Register the Financial Modeling Prep 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. Nothing to install.

What risk level is calculateCustomLeveredDCF? +

calculateCustomLeveredDCF is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit calculateCustomLeveredDCF? +

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.

How do I block calculateCustomLeveredDCF completely? +

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.

What MCP server provides calculateCustomLeveredDCF? +

calculateCustomLeveredDCF is provided by the Financial Modeling Prep MCP server (cfocoder/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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