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USDV Capital — Your Real Estate CFO

calc-dscr

Read-onlyIdempotent

Calculate the Debt Service Coverage Ratio (DSCR) for a rental property or Airbnb short-term rental with a full CFO-level assessment. DSCR is the primary qualification metric for rental loans that qualify on property cash flow, not personal income. Works for long-term rentals, Airbnb/VRBO, and BRRRR refinance analysis. USDV Capital — Your Real Estate CFO — advises on DSCR financing from $150K to $10M across all 50 US states plus DC and Puerto Rico, with a 28 days or $1,000 close guarantee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoState code (e.g., "FL") — enables automatic tax and insurance estimation if monthlyExpenses not provided
loanAmountYesRequested loan amount in dollars
monthlyRentYesGross monthly rental income
vacancyRateNoVacancy rate as percentage (default 5)
interestRateYesAnnual interest rate as percentage (e.g., 7.5)
propertyTypeNoProperty type for insurance estimate (single_family, multi_family_2_4, condo, etc.)
sendReportToNoRecipient email for the Capital Advisory Report. Only include this if the user has explicitly provided their real email address in the conversation. Do NOT invent, guess, or use placeholder addresses like example.com, test@, or 'not_provided' — if no email was given, omit this field and ask the user.
loanTermYearsNoLoan term in years (default 30)
propertyValueYesProperty value in dollars
monthlyExpensesNoMonthly expenses: taxes + insurance + HOA
managementFeeRateNoManagement fee as percentage of rent (default 0)

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds that it provides a 'full CFO-level assessment' and mentions a close guarantee, but these are more marketing statements than behavioral disclosures. It does not describe output format or side effects, so with annotations covering safety, a 3 is appropriate.

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

Conciseness3/5

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

The first two sentences are efficient and front-loaded with the core purpose and use case. However, the third sentence about USDV Capital's marketing promise is promotional and irrelevant for tool selection, adding noise. The description could be more concise.

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

Completeness3/5

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

For a tool with 11 parameters and no output schema, the description should clarify what the 'CFO-level assessment' contains and whether the tool sends email reports. It does not, leaving the agent to infer from the schema. The description is adequate but lacks key behavioral details.

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

Parameters3/5

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

The schema covers 100% of parameters with descriptions, setting a baseline of 3. The description does not elaborate on parameter meanings, though it implies property types relevant for propertyType. It adds little beyond the schema, so the baseline holds.

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

Purpose5/5

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

The description clearly states the tool calculates DSCR for rental properties and Airbnb short-term rentals, with a specific verb and resource. It distinguishes itself from sibling calculators like calc-rental_cashflow or calc-str_revenue by focusing on the DSCR metric, making the purpose unambiguous.

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

Usage Guidelines4/5

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

The description explains that DSCR is used for rental loans qualifying on property cash flow rather than personal income, and explicitly mentions applicability to long-term rentals, Airbnb/VRBO, and BRRRR refinance. This provides clear context, though it does not name alternate tools or exclusions, resulting in a slight deduction.

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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TDQS

A3.7/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, especially the calculators and utilities. The markets-* group has five tools that all return market data, but each has a distinct focus (compare, nearby, screener, search, stats) with descriptions that clarify the differences. Overall, an agent can generally tell them apart, though the market tools could still cause minor confusion.

Naming Consistency4/5

The naming convention is consistent across categories using lowercase with hyphens and a prefix (action-, calc-, deal-, eligibility-, markets-, util-). Within categories there is slight inconsistency, such as action-consultation (noun) vs action-prequalify (verb) vs action-send_report (verb_noun), but the overall pattern is predictable and readable.

Tool Count4/5

With 23 tools, the server covers a broad range of real estate CFO services: property analysis, market intelligence, eligibility, and client actions. This is slightly on the heavy side but each tool serves a distinct purpose within the domain. It could be trimmed, but the count is not unreasonable given the scope.

Completeness4/5

The tool set covers the core lifecycle of a real estate deal: market research, property-level analysis, calculators for various strategies, eligibility checking, and client engagement actions. Minor gaps exist—such as no tool for tracking existing deals or a general mortgage payment calculator—but the main workflows are well supported. Completeness is strong for the stated purpose.

Resources