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Indian property rules compared across the states

compare_states_in
Read-onlyIdempotent

INDIA. One rule compared across the states whose official rates Payotte read (purchase-duty, women-buyer-rates).

Input Schema

NameRequiredDescriptionDefault
topicYesTopic of the table.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds one genuinely useful behavioral fact beyond that: the comparison is scoped to states 'whose official rates Payotte read,' i.e., a coverage limitation. It says nothing about the table's shape, row granularity, or how states lacking data are handled.

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?

A single front-loaded sentence with no filler, leading with jurisdiction and topic scope. The unexplained proper noun 'Payotte' costs it a point, since an agent cannot tell whether that is the data vendor or a filter, but nothing is padded.

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?

For a one-parameter, read-only lookup with full schema coverage and no output schema, the description supplies the essentials: jurisdiction, verb, and the two permitted topics. The data-coverage caveat is a nice touch. Return format need not be explained absent an output schema, though row-level granularity would help.

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 description coverage is 100% with a single enum parameter, so the schema already does the heavy lifting. The description restates the two enum values ('purchase-duty', 'women-buyer-rates') but adds no meaning beyond them, such as units, rate basis, or what a women-buyer-rate comparison actually contains. Baseline 3 applies.

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 verb (compared) plus the resource (one Indian property rule) and enumerates the exact topics covered (purchase-duty, women-buyer-rates). This clearly separates it from single-jurisdiction siblings like stamp_duty_in, though it never names an alternative outright. The leading 'INDIA' makes jurisdiction unambiguous in a list crowded with US/AU/UK/French tools.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to pick this over stamp_duty_in, guide_in, or the other compare_states_* tools. Usage can only be inferred from the enumerated topics, and the description never states what a caller should already know (e.g., that it returns a cross-state table rather than a single-state rate).

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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