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AVnester — Indian Real Estate Intelligence

Compare Indian localities head-to-head

compare_localities
Read-onlyIdempotent

Compare 2–3 Coimbatore or Chennai localities side-by-side: price trends, livability, investment grade, strengths, and watchouts. Use when the user asks "X vs Y" or "which is better between X and Y for buying/renting" about neighborhoods in these cities. Out-of-scope cities return supported=false; surface the scopeMessage to the user. For comparing specific LISTINGS by ID, use compare_properties instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYesIndian city covering all compared localities.
localitiesYes2–3 localities to compare (array, not comma-separated string).
propertyTypeNoProperty type for comparison.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityYes
cardsYes
supportedYes
comparisonYes
disclaimerYes
handoffUrlYes
localitiesYes
attributionYes
scopeMessageNo
supportedCitiesNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint. The description adds value by disclosing scope restrictions (only Coimbatore/Chennai), the supported=false response for out-of-scope cities, and the need to surface scopeMessage. This goes beyond what annotations provide, though it doesn't detail the full output structure (covered by output schema).

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?

The description is three sentences, each earning its place: purpose, usage trigger, and scope/alternative handling. It is front-loaded and free of fluff, providing maximum information in a compact format.

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

Completeness5/5

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

The description is complete for a comparison tool with rich schema and output schema. It covers the supported cities, the scope behavior, and the key alternative tool. Nothing essential is missing given the structured fields already provide parameter details and output schema.

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 each parameter already described in detail. The description adds minimal parameter-specific insight beyond mentioning '2–3 localities' which is already encoded in the schema's minItems/maxItems. It does not introduce new meaning for city or propertyType, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool compares 2–3 localities side-by-side with specific aspects (price trends, livability, investment grade, etc.) and names the cities (Coimbatore/Chennai). It explicitly distinguishes itself from compare_properties, making its purpose unambiguous and distinct from siblings.

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

Usage Guidelines5/5

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

The description provides explicit when-to-use guidance ('X vs Y' or 'which is better' for buying/renting) and an alternative (use compare_properties for listing comparisons). It also defines behavior for out-of-scope cities (return supported=false and surface scopeMessage), giving clear conditions for use.

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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TDQS

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct resource and action: search, details, comparisons (localities vs. listings), and specific financial calculations (EMI, stamp duty, tax, prepayment, balance transfer, decision intelligence). Descriptions clearly differentiate between similar-sounding tools like calculate_home_affordability and get_property_decision_intelligence.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (e.g., compare_properties, get_locality_insights, simulate_loan_prepayment). The verbs are descriptive and uniform in style, with no mixed conventions or vague names.

Tool Count5/5

11 tools is well-scoped for a real estate intelligence server, covering property search, locality analytics, and financial calculators. Each tool has a clear purpose and the set feels neither sparse nor bloated.

Completeness5/5

The tool surface covers the full home-buying journey in India: searching properties, getting details, comparing localities/listings, estimating stamp duty and loan payments, optimizing tax regime, simulating prepayment, and assessing overall affordability with decision intelligence. No obvious gaps or dead ends.

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