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US Mortgage Calculator

Calculate a monthly mortgage payment

calculate_mortgage
Read-onlyIdempotent

Full monthly housing cost for a US mortgage: principal and interest, property tax, homeowners insurance, mortgage insurance and HOA dues, plus lifetime totals and payoff timing. Pass a state name to use that state's average property tax rate. This is the right tool for 'what would my payment be on a $400,000 house'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoFull US state name, for example "Texas". Used to look up the average property tax rate. Either this or propertyTaxRatePercent is required.
loanTypeNoLoan programme. Affects mortgage insurance and upfront fees.conventional
homePriceYesPurchase price of the home in US dollars.
monthlyHoaNoMonthly homeowners association dues in US dollars.
loanTermYearsNoLoan term in years. Most US mortgages are 15 or 30.
annualInsuranceNoAnnual homeowners insurance premium in US dollars.
downPaymentPercentNoDown payment as a percentage of the purchase price, 0 to 100. Not a dollar amount.
monthlyExtraPrincipalNoAdditional principal paid each month. Shortens the loan rather than lowering the payment.
propertyTaxRatePercentNoAnnual property tax as a percentage of home value. Omit and pass `state` instead to use that state's average.
annualInterestRatePercentNoAnnual nominal interest rate as a percentage, for example 6.5 for 6.5%.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds value by detailing what the calculation includes (taxes, insurance, HOA, PMI) and that it returns lifetime totals and payoff timing. No contradictions with annotations are present.

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

Conciseness5/5

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

The description is only two sentences long, yet it conveys the full scope, an important usage note about state names, and a concrete example. Every sentence earns its place without any fluff or repetition of schema details.

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

Completeness4/5

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

Given 10 parameters, complete schema coverage, and no output schema, the description does a good job of summarizing the tool's coverage. It mentions key return elements ('lifetime totals and payoff timing') and one usage pattern. However, it doesn't clarify the mutual exclusivity between state and propertyTaxRatePercent, though the schema does. This is a minor gap in an otherwise complete description.

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 100%, meaning every parameter already has a detailed explanation. The tool description does not add meaning beyond the schema; it only reiterates that passing a state uses that state's average property tax rate, which the schema already states. With high schema coverage, a baseline of 3 is appropriate.

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's purpose: 'Full monthly housing cost for a US mortgage: principal and interest, property tax, homeowners insurance, mortgage insurance and HOA dues, plus lifetime totals and payoff timing.' It uses a specific verb (calculate), a specific resource (mortgage payment), and defines the exact scope. The inclusion of an example ('what would my payment be on a $400,000 house') further anchors the purpose and distinguishes it from sibling calculators.

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 provides a clear use case with the example 'what would my payment be on a $400,000 house', telling the agent when to invoke it. However, it does not explicitly name alternative sibling tools (e.g., calculate_amortization, calculate_pmi) or state when not to use this tool, so it falls short of full exclusionary guidance.

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

A4.5/5.0
Disambiguation5/5

Each tool targets a distinct calculation or information need: affordability, amortization, full mortgage payment, PMI, property tax, refinancing, rent vs buy, loan comparison, closing costs, state rules, and state list. Even overlapping tools like calculate_mortgage and calculate_pmi are clearly separated by depth and purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern, using verbs like calculate, compare, estimate, get, and list. The pattern is uniform and predictable across the entire set.

Tool Count5/5

With 11 tools, the server is well-scoped for a US mortgage calculator domain. Each tool covers a meaningful aspect of mortgage analysis without redundancy or bloat.

Completeness5/5

The tool surface covers the full lifecycle of mortgage decision-making: affordability, payment estimation, amortization, PMI, property tax, refinancing, rent vs buy, loan comparison, closing costs, and state-specific rules. No significant gaps are apparent for the stated purpose.

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