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AVnester — Indian Real Estate Intelligence

Compare home-loan balance transfer (calculator)

compare_balance_transfer
Read-onlyIdempotent

Compare staying on your current home loan vs. transferring (refinancing) to a lower rate. Pure deterministic math — no advice, no loan-approval claim. Use when the user asks "should I switch lenders / transfer my loan / refinance". Returns new EMI, interest saved over the remaining tenure, switching cost, net saving, and the breakeven month. Always surface the disclaimer field.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flatCostsNoFlat legal + valuation charges in INR. Defaults to ₹12,500.
newRatePercentYesNew lender annual interest rate (percent).
processingFeePctNoNew-lender processing fee on the balance (percent). Defaults to 0.5%.
currentRatePercentYesCurrent annual interest rate (percent).
outstandingPrincipalYesCurrent outstanding home-loan principal in INR.
remainingTenureYearsYesYears left on the loan.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cardsYes
newEmiYes
worthItYes
netSavingYes
currentEmiYes
disclaimerYes
assumptionsYes
attributionYes
switchingCostYes
newRatePercentYes
breakevenMonthsYes
monthlyEmiSavingYes
newTotalInterestYes
currentRatePercentYes
grossInterestSavedYes
currentTotalInterestYes
outstandingPrincipalYes
remainingTenureYearsYes

TDQS

A4.5/5.0
Behavior5/5

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

Adds significant behavioral context beyond annotations: 'Pure deterministic math — no advice, no loan-approval claim' and 'Always surface the disclaimer field.' Annotations already indicate readOnly/idempotent/non-destructive; description enriches with operational constraints.

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?

Three sentences, front-loaded with purpose, no unnecessary words. Each sentence earns its place: purpose, usage guidance, and output summary with disclaimer note.

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?

Despite 6 parameters and required outputs, the description covers all key aspects: what it compares, when to use, what it returns (including disclaimer). Output schema exists so return values are further detailed; description provides sufficient high-level completeness.

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 coverage is 100%, so each parameter is described in the schema. Description does not add further parameter details but summarizes outputs. Baseline score of 3 applies as description adds no extra parameter meaning.

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?

Description clearly states it compares staying vs. transferring a home loan, lists what it returns, and explicitly says when to use it (user asks about switching/refinancing). Distinguishes from siblings like simulate_loan_prepayment.

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?

Provides explicit usage context: 'Use when the user asks...' and clarifies it is pure math with no advice/approval. Lacks explicit when-not-to-use or alternative tools, but context is sufficient.

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

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: search, details, comparisons (localities vs. listings), and specific financial calculations (EMI, stamp duty, tax, prepayment, balance transfer, decision intelligence). Descriptions clearly differentiate between similar-sounding tools like calculate_home_affordability and get_property_decision_intelligence.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_properties, get_locality_insights, simulate_loan_prepayment). The verbs are descriptive and uniform in style, with no mixed conventions or vague names.

Tool Count5/5

11 tools is well-scoped for a real estate intelligence server, covering property search, locality analytics, and financial calculators. Each tool has a clear purpose and the set feels neither sparse nor bloated.

Completeness5/5

The tool surface covers the full home-buying journey in India: searching properties, getting details, comparing localities/listings, estimating stamp duty and loan payments, optimizing tax regime, simulating prepayment, and assessing overall affordability with decision intelligence. No obvious gaps or dead ends.

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