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Calculate loan payoff

calculate_loan_payoff
Read-onlyIdempotent

Works out how many months a loan takes to pay off and the total interest, month by month (one month of interest = APR / 12 is added, then the payment is taken off), and what an optional extra monthly payment saves in interest and time. Same method as https://profitdrawer.com/tools/loan-payoff-calculator.html. A close estimate; lenders can differ slightly.

Input Schema

NameRequiredDescriptionDefault
balanceYesLoan balance in USD.
apr_percentYesAnnual interest rate (APR) in percent, for example 6.
extra_paymentNoOptional extra payment each month in USD.
monthly_paymentYesMonthly payment in USD.

Output Schema

NameRequiredDescriptionDefault
urlYes
noteNo
savedYes
inputsNo
currentYes
displayNo
warningsNo
citationsYes
with_extraYes
sample_noticeNo
one_month_interestNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, so the safety profile is covered; the description adds real value by disclosing the exact amortization method and warning that results are a close estimate that lenders may differ on. It does not address edge cases such as a payment too small to ever amortize the balance or a zero balance, which is the main remaining behavioral gap.

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?

Purpose is front-loaded in the first clause, followed by a compact method parenthetical and two short caveat sentences. The parenthetical is slightly dense but earns its place by making the calculation reproducible; nothing is redundant with the annotations.

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?

With a full output schema, rich annotations, and 100% schema coverage, the description need only explain method and precision, which it does. The only missing piece is behavior for degenerate inputs (payment <= monthly interest), which would matter for a purely computational tool.

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%, so balance, apr_percent, monthly_payment and extra_payment are already documented with units and examples. The description reinforces what extra_payment does for the outcome but adds no format, range, or interaction detail beyond the schema; baseline 3 applies.

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?

States a specific verb and resource: it computes months-to-payoff and total interest for a loan, plus the savings from an extra payment. The mechanics (APR/12 interest added, payment subtracted) and the sibling calculators' distinct domains make it unambiguous which tool to pick.

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?

Clear context: this is for amortizing a loan with a fixed monthly payment, optionally with an extra payment, and it names the reference implementation at profitdrawer.com so the agent knows the intended scenario. It does not state exclusions or when a sibling calculator would be preferable, but the other siblings cover different domains (jobs, tax, startup costs).

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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