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Realestate Showcase Commercial

realestate_showcase_commercial
Read-only

US commercial real estate listings from Showcase for a city, for lease or for sale: listing ID, title, property type (office, retail, industrial, flex, coworking...), asking rent or price text as shown (e.g. $19.00-$21.00 USD/SF/yr, or rent withheld), address, size range in square feet and number of spaces, and listing URL; 30 per page plus the number of matching listings (Showcase caps it at 500). Optional property-type filter on the page. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
cityYesCity as in Showcase URLs, e.g. dallas, los-angeles (required)
dealNolease (default) or sale
pageNoPage number from 1 (default 1)
typeNoOptional words of the property type, e.g. office, retail, industrial
stateYes2-letter US state, e.g. tx, ca (required)

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Goes well beyond the readOnly/openWorld annotations: discloses pagination size (30/page), the 500-listing cap, the exact payment model ($0.002 USDC per successful call via x402 on Base/Solana/Arc), and that failed calls are free. This is exactly the kind of operational 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?

Dense but front-loaded: it leads with purpose, then enumerates returned fields, pagination, and pricing. The single long sentence is information-rich with little waste, though it could be broken up for readability.

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?

An output schema exists, so return values need not be described, and the description still covers scope, pagination limits, and cost. Nothing an agent needs to call it correctly is missing.

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%, so the schema already documents all five parameters. The description reiterates the property-type filter and lease/sale option and adds a price-text example, but offers little semantic detail beyond what the schema provides. 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+resource+scope: 'US commercial real estate listings from Showcase for a city, for lease or for sale.' The source ('Showcase') distinguishes it somewhat, but it does not explicitly differentiate from close siblings like realestate_commercial_real_estate_listings or realestate_loopnet.

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 (commercial listings in a US city, lease vs sale) but never states when to prefer it over sibling commercial tools. No explicit alternatives or exclusions are named.

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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