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homeloanscalculator

stampDuty

Takes a property value, buyer gender and a state rate row and returns the stamp duty, registration fee, cess and total for a property purchase. Example input: {"propertyValue":8000000,"gender":"female","state":"maharashtra"}

Input Schema

NameRequiredDescriptionDefault
stateYesState slug: maharashtra, karnataka, delhi, tamil-nadu, telangana, uttar-pradesh, gujarat, west-bengal, haryana, rajasthan
genderNoBuyer gender; women may get a lower rate in some states
propertyValueYesProperty value in rupees

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 exist, so the description carries the burden. It does disclose the output shape (duty, registration fee, cess, total), which is valuable, and the 'takes... returns' framing implies a stateless computation. It does not explicitly state that it is read-only/pure, nor flag rate-assumption or rounding behavior.

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 sentences with the outputs front-loaded before the example input, zero filler. The example is slightly redundant against a 100%-covered schema but earns its place as a quick call template.

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 no output schema, the description correctly enumerates the returned fields, which is what an agent needs to use the result. The minor gap is not clarifying the 'state rate row' vs slug discrepancy and not stating optionality of gender.

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 the schema already defines all three parameters, and a baseline of 3 applies. The worked example adds practical value, but the phrase 'a state rate row' conflicts with the schema's 'state slug' string parameter, creating a small ambiguity about what to pass.

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... returns') and names the exact domain resource: stamp duty, registration fee, cess and total for a property purchase. This clearly separates it from siblings like emi or taxBenefit, though it never names those siblings explicitly to reinforce the routing.

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 'for a property purchase' and the return fields, so an agent can infer the calculator context. However, there is no explicit statement of when to use this versus emi/sensitivity/taxBenefit, and no prerequisites or exclusions are given.

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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