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Glama

homes-loan-calculator

downPayment

Takes a property price and returns the loan-to-value ratio, maximum loan, minimum down payment and approximate stamp duty plus registration. Example input: {"price":7500000}

Input Schema

NameRequiredDescriptionDefault
priceYesProperty price in rupees

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations exist, so the description must carry the burden. It does disclose the full output set and gives a concrete example input, which implies a pure calculation with no side effects, but it never states that explicitly, nor does it mention rounding, currency assumptions beyond the schema, or jurisdiction for stamp duty.

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?

One sentence plus a compact example — the return values are front-loaded and every clause carries information. No filler.

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 one input parameter, no output schema and a calculation-only behavior, the description covers what an agent needs: the input, the example, and the shape of the response. Only the stamp-duty assumptions (rate/jurisdiction) and the read-only nature are left implicit.

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% and the single parameter is already documented as 'Property price in rupees' with an exclusive minimum. The description reinforces this with a sample value of 7500000 but adds no format, unit or range guidance beyond what the schema supplies.

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?

The description uses a specific verb (takes a property price) and enumerates exactly what is returned: LTV ratio, maximum loan, minimum down payment, stamp duty and registration. That is far more than the vague tool name 'downPayment' conveys, though it never names a sibling tool to differentiate itself from emi or eligibility.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied — an agent can infer this is the tool for down-payment/loan sizing given a price. There is no explicit 'use this when' statement and no pointer to emi, eligibility or rentVsBuy as alternatives for related questions.

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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