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chrischall

zillow-mcp

by chrischall

Calculate max affordable home price

zillow_calculate_affordability
Read-onlyIdempotent

Calculate the maximum home price you can afford under standard 28/36 DTI rules by entering income, debts, down payment, and rate. Get a full PITI breakdown and the binding constraint.

Instructions

Solve for the maximum home price you can afford under the standard 28/36 DTI rule. Inputs: monthly income, monthly recurring debts (car loans, student loans, etc.), down payment, interest rate, and optional property-tax rate / insurance / HOA / loan term. Output: max home price, the binding constraint (front-end vs back-end), and the full PITI breakdown at that price. No network — pure local math.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hoa_monthlyNo
back_end_dtiNoBack-end DTI cap as decimal, default 0.36
down_paymentYes
front_end_dtiNoFront-end DTI cap as decimal, default 0.28
interest_rateYesAnnual %, e.g. 6.5
monthly_debtsNoSum of monthly debt payments (car, student loans, etc.)
monthly_incomeYes
loan_term_yearsNoDefault 30
insurance_annualNo
property_tax_rateNoAnnual % of home price, default 1.1
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, indicating safe reads. The description adds 'No network — pure local math,' which confirms no side effects and local computation. It also describes outputs (max home price, binding constraint, PITI breakdown). This adds value beyond annotations.

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 a single paragraph of ~80 words, efficiently summarizing purpose, inputs, and outputs. Every sentence adds value; no fluff or repetition. It is front-loaded with the core purpose.

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

Completeness5/5

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

Given no output schema, the description explains the output in detail (max home price, binding constraint, PITI breakdown). It covers all important aspects: inputs, outputs, and behavioral trait (local math). For a simple computation tool with annotations, this is complete and sufficient.

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 has 60% coverage, and the description lists primary inputs (income, debts, down payment, interest rate, optional tax/insurance/HOA/term). It adds context like 'recurring debts (car loans, student loans, etc.)' and mentions outputs. However, it does not significantly elaborate on parameter meaning or defaults beyond what the schema already provides. Baseline 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 solves for maximum affordable home price under the 28/36 DTI rule. It uses specific verbs ('Solve for the maximum home price') and specifies resource ('affordability'). It distinguishes from siblings like calculate_mortgage by focusing on affordability rather than monthly payment.

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 lists required inputs and expected outputs, making it clear when to use it (when needing affordability calculation). It does not explicitly state when not to use it or mention alternative tools, but the purpose is sufficiently distinct. Could be improved by contrasting with zillow_calculate_mortgage.

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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