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imbenrabi

Financial Modeling Prep MCP Server

calculateCustomDCF

Read-onlyIdempotent

Run a personalized Discounted Cash Flow (DCF) valuation for any stock by customizing key financial assumptions like revenue growth, EBITDA margins, tax rate, and cost of capital to derive a precise intrinsic value.

Instructions

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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=true and idempotentHint=true, so the description adds minimal behavioral context beyond stating it runs an analysis. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no extraneous words. However, structure is flat; could be improved with bullet points or clearer separation of purpose and usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, but the description does not mention return values or typical results. Given the complexity of DCF analysis with many parameters, the description is incomplete for an agent to understand the full behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fails to explain any of the 19 parameters. It only vaguely mentions 'detailed inputs', providing no added meaning beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it runs a tailored DCF analysis using the FMP API. The verb 'run' and resource 'DCF analysis' are specific, and the name distinguishes it from sibling tools like calculateCustomLeveredDCF, though no explicit differentiation is provided.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as getDCFValuation or calculateCustomLeveredDCF. The description does not mention prerequisites or context, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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