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jibbs1703

Mortgage MCP Server

by jibbs1703

get_amortization_schedule

Calculate a month-by-month amortization schedule from principal, annual interest rate, and loan term to see each payment's principal and interest breakdown.

Instructions

Get the complete month-by-month amortization schedule.

Args: principal: Loan amount in dollars. annual_interest_rate: Annual interest rate as a percentage. loan_term_years: Loan term in years.

Returns: JSON object with payment_info and the full entries list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
principalYes
loan_term_yearsYes
annual_interest_rateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It is a deterministic calculation with no side effects, so the risk is low, and it briefly notes the return shape ('payment_info and the full entries list'), but it never states that it is a pure read/compute operation or mentions assumptions like rounding or payment timing.

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?

Front-loaded with the purpose in the first sentence, then compact Args/Returns blocks with no filler. The Args section is slightly redundant with the schema, but it is short and each line adds unit information.

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?

An output schema exists, so the return structure need not be spelled out (and the description only summarizes it). All three 0%-documented parameters get semantic definitions, leaving only the cross-tool routing guidance absent.

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

Parameters4/5

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

Schema description coverage is 0% and the properties carry only bare titles, so the description must compensate – and it does, defining principal as dollars, the rate as a percentage, and the term in years. Those units materially change how an agent fills the arguments, though no bounds or edge-case rules (e.g. zero-rate, rounding) are given.

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?

States a specific verb and resource ('Get the complete month-by-month amortization schedule'), which is clearly distinguishable from siblings like calculate_monthly_payment (single payment) or compare_loan_scenarios. It does not name those siblings explicitly, so it stops short of a 5.

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?

There is no statement of when to use this tool versus calculate_monthly_payment, calculate_with_lump_sum, or calculate_with_extra_payments. The 'complete month-by-month' phrasing implies the distinction, but nothing tells the agent when this is the right pick or when it is not.

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