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homes-loan-calculator

eligibility

Takes net monthly income, existing EMIs, annual rate and tenure and returns the maximum EMI and home loan amount a borrower qualifies for. Example input: {"netMonthlyIncome":150000,"existingEmis":10000,"annualRate":8.5,"years":20}

Input Schema

NameRequiredDescriptionDefault
foirNoShare of income a bank lets all EMIs take, 0.1 to 1 (default 0.5)
yearsNoLoan tenure in years (0.5 to 40). Give months or years.
monthsNoLoan tenure in months (6 to 480). Give months or years.
annualRateYesAnnual interest rate in percent, for example 8.5
existingEmisNoTotal EMIs already paid each month in rupees (default 0)
netMonthlyIncomeYesNet monthly take-home income 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?

With no annotations, the description carries the full burden: it does disclose the core input-output relationship (income, EMIs, rate, tenure → max EMI and loan amount), which is the main behavioral fact. It does not state that this is a pure/read-only computation, nor does it address what happens when both months and years are supplied or how defaults are applied.

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?

Two tight sentences: purpose first, then a compact illustrative example. Every part earns its place, though the example is borderline redundant given 100% schema coverage.

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?

No output schema exists, and the description does name the two return values, so an agent knows what comes back. For a 6-parameter calculator, the remaining gaps (foir semantics, tenure conflict handling, defaulting behavior) are modest but real.

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 coverage is 100%, so the baseline is 3, and the description adds value with a concrete example input that grounds units and magnitudes (rupees, percent, years). It still does not explain the foir parameter or the months-vs-years precedence, so it does not fully compensate for that ambiguity.

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 names a specific verb (returns), the computation (maximum EMI and home loan amount a borrower qualifies for), and the inputs it consumes. It is clearly distinguishable from siblings like emi or sensitivity by its qualification/eligibility framing, though it never names those siblings explicitly.

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 phrase 'maximum EMI and home loan amount a borrower qualifies for,' so an agent can infer this is the eligibility/affordability calculator rather than a plain EMI tool. However, there is no explicit when-to-use versus emi or sensitivity, and no mention of prerequisites or how it relates to the other siblings.

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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