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homeloanscalculator

taxBenefit

Takes a loan amount, annual rate, tenure and tax slab and returns the Section 80C and 24(b) deductions and the tax saved in a given repayment year. Example input: {"principal":5000000,"annualRate":8.5,"years":20,"slabRate":0.3}

Input Schema

NameRequiredDescriptionDefault
yearNoRepayment year to compute for (default 1)
yearsNoLoan tenure in years (0.5 to 40). Give months or years.
monthsNoLoan tenure in months (6 to 480). Give months or years.
slabRateYesIncome tax slab rate as a fraction, for example 0.3
principalYesLoan amount in rupees
annualRateYesAnnual interest rate in percent, for example 8.5

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

No annotations, so the description carries the full burden. It usefully discloses that output is per-repayment-year (not cumulative) and names the deduction categories, but never states this is a pure read-only computation with no side effects, nor how tenure is resolved when both years and months are supplied.

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?

Two sentences, purpose front-loaded before the example, zero filler. The example input is compact and directly useful for invocation.

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

Completeness3/5

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

With no output schema, the description names the returned concepts but not their structure or field names, and leaves the years/months interaction and default year handling to the schema. Adequate to call, but thin for parsing results.

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% with unit and range descriptions for every parameter, so baseline is 3. The example input reinforces conventions (0.3 fraction, 8.5 percent) but adds little beyond what the schema already documents.

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 computation: takes loan amount, rate, tenure, slab and returns Section 80C and 24(b) deductions plus tax saved for a repayment year. Clearly distinguishable from siblings (emi, eligibility, stampDuty, sensitivity) by its tax-output focus, though it doesn't explicitly name a sibling.

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 implied by the input/output mapping, but there is no explicit when-to-use/when-not guidance and no routing against alternatives like emi or sensitivity. An agent must infer selection from intent alone.

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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