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Search property records

search_properties
Read-onlyIdempotent

Search normalized U.S. property records (owner, structural attributes, tax assessments, tax + sale history) by location. Pin a location one of three ways: a full address, a city+state(+zipCode), or a latitude+longitude point with a radius (miles). All other parameters narrow the result set. Records are cached 24h upstream, so meta.cached may be true on repeat queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity name; combine with state (and optionally zipCode) for an area search.
limitNoMax records to return per page. Default 50.
stateNo2-character state abbreviation, e.g. TX.
offsetNoNumber of records to skip, for pagination. Default 0.
radiusNoSearch radius in miles (max 100); used with latitude/longitude.
addressNoFull address, format "Street, City, State, Zip". Alternative to city/state/zipCode or lat+long. e.g. "5500 Grand Lake Dr, San Antonio, TX, 78244".
lotSizeNoLot size in square feet; supports ranges and multiple values.
zipCodeNo5-digit ZIP code.
bedroomsNoBedroom count; supports ranges and multiple values.
latitudeNoLatitude of the search center; requires longitude and radius.
bathroomsNoBathroom count; supports fractions, ranges, and multiple values.
longitudeNoLongitude of the search center; requires latitude and radius.
yearBuiltNoYear built; supports ranges and multiple values.
propertyTypeNoFilter by property type.
saleDateRangeNoDays since last sale (min 1) — restricts to properties last sold within that window.
squareFootageNoLiving-area square footage; supports ranges and multiple values.
includeTotalCountNoWhen true, RentCast also returns the total matching count. Default false.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, open-world, and non-destructive behavior. The description adds value beyond annotations by revealing a 24h upstream cache and the behavior that meta.cached may appear on repeat queries. It does not describe response structure or error behavior, but the annotations lower the burden and the caching note is useful.

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 with no filler. It front-loads the core purpose, then explains input modes, and ends with a cache warning—every sentence earns its place. This is a model of concise, structured writing.

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 17 parameters and no output schema, the description covers the essential high-level behavior: data scope, location modes, filtering, and caching. It does not mention pagination or sort order, but the schema documents limit/offset and the first sentence hints at the return fields. Overall, it is sufficient for most use cases.

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 description coverage is 100%, so the baseline is 3. The description adds meaningful parameter-relationship semantics by grouping the three location modes and stating that all other parameters narrow the result set, which helps agents avoid invalid combinations. This pushes it above the baseline.

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 clearly states this tool searches normalized U.S. property records with specific data categories (owner, structural, tax, sale history) and explains the three location-pinning modes. While it implicitly differentiates from listing/search siblings by focusing on property records, it does not explicitly name alternative tools, so it falls short of a 5.

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

Usage Guidelines4/5

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

The description gives clear usage context by explaining the three mutually exclusive location input methods and that all other parameters are filters. It does not mention when to choose this over sibling searches or any exclusions, so it lacks explicit alternative guidance.

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

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: avm_rent and avm_value target rent vs. property value, while search_properties, search_rental_listings, and search_sale_listings each address different record types (property records, rental listings, sale listings). get_property is the only single-record retrieval tool. No overlap or ambiguity exists.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern: avm_rent/avm_value, search_properties/search_rental_listings/search_sale_listings, and get_property. The naming is predictable and uniformly formatted with action prefixes and clear resource targets.

Tool Count5/5

With 6 tools, the set is well-scoped for a real estate data server, covering property search, property detail, valuation models, and both rental and sale listings. Each tool earns its place without redundancy or excessive granularity.

Completeness5/5

The tool surface comprehensively covers the domain: property search with detailed records, single-property lookup, AVM for both rent and sale value, and listing search for both rental and sale. The read-only nature of the API means no CRUD operations are expected, and no obvious gaps remain for core workflows.