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Tokenized real estate live feed, on-chain ($0.005)

tokenized_real_estate
Read-only

PAID $0.005 USDC. Tokenized real estate / RWA property tokens (RealT RealTokens on Gnosis) read on-chain: token, platform, chain, contract, property address, city, state, country, total supply, on-chain price + price source, market cap, holders, 24h/30d on-chain YAM volume and trades, last trade, RMM collateral, as-of. Covers RMM collateral tokens plus all YAM-whitelisted RealTokens. Filters platform, chain, city, state, country, limit.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "tokenized_real_estate"
  }
}

Input Schema

NameRequiredDescriptionDefault
cityNoe.g. Detroit
chainNoGnosis
limitNo
stateNoe.g. MI
api_keyNoOptional prepaid key (sk_scrapling_...) or catalog pass token (sdp_..., from pass_day/pass_month). Otherwise pay per call with x402 via _meta['x402/payment'].
countryNoe.g. US
platformNoRealT

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / api_key / description
      Previous value: -"Optional prepaid key (sk_scrapling_...). Otherwise pay per call with x402 via _meta['x402/payment']."New value: +"Optional prepaid key (sk_scrapling_...) or catalog pass token (sdp_..., from pass_day/pass_month). Otherwise pay per call with x402 via _meta['x402/payment']."
  2. Added

TDQS

B3.4/5.0
Behavior3/5

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

readOnlyHint and openWorldHint=false are already provided, and the description's 'read on-chain' is consistent with them. It adds real value by disclosing the payment model, the x402/_meta path, and the api_key alternatives. It says nothing about rate limits, freshness/reliability of on-chain reads, or what an empty filtered result means.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The payment requirement is correctly front-loaded, and the field enumeration is useful because no output schema exists. However, it is one dense, comma-chained sentence that mixes pricing, data fields, coverage, and filters, making it harder to scan than a short structured breakdown.

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 no output schema, the enumerated return fields (price, market cap, holders, volume/trades, RMM collateral, as-of) give the agent a solid picture of the response. The gaps are minor but real: no page/size behavior for limit, no example output, and no note on how the paid vs free tool differ.

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 86%, so the schema largely documents the filters (city, chain, state, country, platform with examples) and api_key. The description only re-lists the filter names without adding format or semantics, and doesn't explain limit behavior or api_key vs x402 precedence beyond the schema. Baseline 3.

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 resource and verb: on-chain read of tokenized real estate / RWA property tokens (RealT RealTokens on Gnosis), plus scope of coverage (RMM collateral tokens plus all YAM-whitelisted RealTokens). It never names free_tokenized_real_estate, so the distinction from that sibling must be inferred from the price line.

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?

Gives the paid context ($0.005 USDC, x402 or prepaid api_key) and describes coverage/sources, which implies when the dataset applies. It never says when to prefer free_tokenized_real_estate or another sibling, nor any exclusions, so the choice between paid and free remains unstated.

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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