Skip to main content
Glama

RealityCents — Hawaii Mortgage & VA Loan Calculators

Calculate affordability

calculate_affordability
Read-onlyIdempotent

Estimate a maximum purchase price from gross monthly income, monthly debts, and a DTI target (default 45 for VA and FHA, 41 for conventional and jumbo). Returns the payment at that price. Read-only. No personal identifiers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rateNoAnnual note rate as a percent. Default 6.5 is an example, not a quote.
loanTypeNoconventional
dtiTargetNoHousing-plus-debts DTI cap as a percent. Defaults to 45 for VA and FHA, 41 for conventional and jumbo.
termYearsNoAmortizing term in years.
hoaMonthlyNoHOA or maintenance fee in dollars per month.
vaFirstUseNoVA funding fee: true = first use. Ignored for other loan types.
creditScoreNoOptional FICO for conventional PMI. Omit it to use LTV-only PMI tiers. Do not send a name or SSN.
downPaymentNo
monthlyDebtsNoMonthly debt payments already owed (car, cards, student loans).
downPaymentUnitNopercent
insuranceMonthlyNoHomeowner's insurance in dollars per month. Default $150 is a planning placeholder, not a quote.
grossMonthlyIncomeYesGross monthly income in dollars. Do not send a name or employer.
monthlyTaxOverrideNoMonthly property tax in dollars. A value above 0 replaces the tax-rate calculation.
vaDisabilityExemptNoTrue if the borrower is exempt from the VA funding fee.
propertyTaxRatePercentNoAnnual property tax as a percent of price. Default 0.35 is Honolulu County residential.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so "Read-only" largely restates structured data. The privacy constraint ("No personal identifiers") is a genuine behavioral addition, since it tells the agent not to pass names or SSNs, but there is nothing about output shape or rounding/assumption caveats beyond the schema notes.

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?

Three short sentences, front-loaded with the core computation and followed by the return and safety notes. Nothing is padded, though the trailing "Read-only. No personal identifiers." is somewhat clipped rather than fully developed.

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 15-parameter pricing tool with no output schema, the description covers the core calculation and DTI defaults but says only "Returns the payment at that price" about output — no indication of the breakdown (principal, interest, taxes, insurance, PMI) the agent should expect. Annotations and 80% schema coverage fill much of the gap, keeping this at minimum-viable rather than inadequate.

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?

Schema description coverage is 80%, so the schema carries most parameter meaning. The description's DTI defaults (45 for VA/FHA, 41 for conventional/jumbo) duplicate the dtiTarget schema text almost verbatim and add no new syntax or constraint information.

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?

It states a specific verb and resource — estimate a maximum purchase price — and names the driving inputs (gross income, debts, DTI target). It does not, however, distinguish itself from close siblings like calculate_mortgage_payment or va_purchase_power, which computes the same figure for VA borrowers.

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

Usage Guidelines3/5

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

Usage is only implied by the input set: an agent can infer this is the reverse of a payment calculator because it takes income and produces a price. There is no explicit when-to-use, when-not-to-use, or routing to the overlapping siblings (calculate_mortgage_payment, va_purchase_power, compare_loans).

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources