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SiteCheck Jobs & Property

Realestate Apartments Com

realestate_apartments_com
Read-only

Apartments.com rental listings for a US city: property name, street address, ZIP, coordinates, rent range (low/high, USD per month), phone, amenities (pets, pool, fitness...), image and link, 40 per page (page 1 to 28), plus the total number of rentals in the city. From apartments.com's public search pages via a residential proxy. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
cityYesCity name, e.g. austin or 'san diego'
pageNoResults page 1 to 28 (default 1)
stateYesTwo-letter US state code, e.g. tx

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, but the description adds genuinely non-structured traits: the upstream source and residential-proxy access, the exact billing model ($0.002 USDC per successful call via x402, failed calls not charged), and the hard pagination ceiling (1-28). That pricing and failure-charging detail is exactly the kind of context annotations cannot convey.

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 dense sentences that lead with the resource and field list, then finish with source/proxy and pricing. The long field enumeration is information-bearing rather than padding, though it slightly duplicates the output schema.

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 an output schema present, the return-value field list is partly redundant, but the description still closes the gaps an agent actually needs: pagination limits, per-page size, US-city scope, and cost model. Nothing essential for a correct call is missing.

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 coverage is 100%, so baseline is 3, but the description adds the per-page count (40 per page), which the schema omits and which directly informs how many pages an agent must walk. It also restates the page 1-28 bound and ties rent to USD/month, though both are largely echoed elsewhere.

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?

Names a specific resource (Apartments.com rental listings for a US city) and enumerates the exact fields returned, so an agent can tell it apart from generic real-estate tools. It stops short of naming the closest siblings (realestate_zillow_rentals, realestate_hotpads_rentals) it competes with, so sibling differentiation is only implicit via the source domain.

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 'for a US city' framing implies the scope boundary (US-only rental search and the required city/state), which is useful against the many non-US siblings. However, there is no explicit when-to-use, when-not-to-use, or named alternative, so the agent must infer routing from the source name alone.

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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