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Get Property

get_property
Read-onlyIdempotent

Get property details for a US address. Returns bedrooms, bathrooms, square footage, lot size, year built, property type, and owner info when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
_apiKeyYesRentcast API key
addressYesFull street address with city, state, and ZIP (e.g., "123 Oak Ave, Denver, CO 80202")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
zipYesZIP code
cityYesCity name
stateYesState abbreviation
countyYesCounty name
addressYesFormatted street address
bedroomsYesNumber of bedrooms
latitudeYesGeographic latitude coordinate
lot_sizeYesLot size in square feet
bathroomsYesNumber of bathrooms
longitudeYesGeographic longitude coordinate
year_builtYesYear the property was built
property_typeYesType of property
last_sale_dateYesDate of last sale
owner_occupiedYesWhether property is owner-occupied
square_footageYesTotal square footage
last_sale_priceYesPrice of last sale in USD

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool safe, read-only, idempotent, and non-destructive. The description adds valuable context: the tool returns specific fields and clarifies that 'owner info' is available only when obtainable, and that the tool is restricted to US addresses. This goes beyond the annotations.

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 concise sentences with no unnecessary words. The description is front-loaded with the core purpose and details what data is returned.

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?

Given the rich annotations and output schema (present but not shown), the description is sufficient. It covers the tool's scope (US address), data returned, and optional nature of owner info. Minor gap: no mention of error cases, but acceptable for this context.

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 full descriptions for both parameters (_apiKey and address). The description does not add additional parameter semantics beyond the schema, so baseline score applies.

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 verb 'get' and resource 'property details for a US address', listing specific return fields (bedrooms, bathrooms, square footage, lot size, year built, property type, owner info). This distinguishes it from siblings like 'get_rent_estimate' or 'entity_profile'.

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?

The description implies usage for retrieving property details for a US address, but does not explicitly state when to use this tool versus alternatives (e.g., 'get_rent_estimate' for rent only, 'entity_profile' for broader entity info). No when-not or exclusions are mentioned.

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

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes, but some overlapping function sets (e.g., multiple Polymarket tools, multiple ask/research tools) could cause confusion. However, descriptions are detailed enough to differentiate.

Naming Consistency4/5

Naming is mostly consistent with snake_case and verb+noun patterns, but a few tools start with nouns (polymarket_*, pipeworx_*), creating minor inconsistency.

Tool Count3/5

At 32 tools, the server feels heavy and covers many disparate domains. While each tool has its place, the high count strains coherence.

Completeness2/5

Given the server name 'Rentcast', only two tools relate to rental data. The rest cover unrelated domains, leaving a major gap for the intended primary purpose.