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Market and Regulatory Data Feeds — Zinin M2M Hub

SS.ge Georgia Real Estate Listings

ss-ge-tbilisi
Read-only

Pull live real-estate listings straight from SS.ge — Georgia's biggest real-estate classifieds portal — by city, with price in whichever currency (GEL or USD) the seller actually set. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
city_idNoSS.ge numeric city ID. Known IDs (verified live 2026-07-30): 95 = Tbilisi, 96 = Batumi, 97 = Kutaisi, 98 = Rustavi, 99 = Gori, 100 = Zugdidi, 101 = Poti, 102 = Telavi, 19 = Mtskheta. An unrecognized ID returns zero listings (not an error) rather than falling back to another city.
deal_typeNoFilter by deal type. `any` (default) returns the portal's own unfiltered mix of sale/rent/lease/daily-rent listings for the city. `sale` and `rent` are confirmed live filters (SS.ge's own For-Sale / For-Rent pages); `rent` also covers the portal's separate "Lease" and "Daily rent" categories.any
max_itemsNoMaximum number of listing rows to return in this run.
max_pagesNoHow many result pages (16 listings per page) to walk before stopping.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds valuable non-obvious behavior: no authentication required, no browser automation, no proxy needs, and per-call pricing ($0.02). It also clarifies that currency is seller-set (GEL or USD), going beyond basic read-only framing.

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 only two sentences, yet it packs the core purpose, source, scope, currency behavior, access constraints, and pricing. Every clause earns its place; it is front-loaded with the primary function and includes no filler.

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 schema and annotations, the description provides enough context for an agent to select and invoke the tool. It lacks a description of the output shape (since no output schema exists), but the phrase 'real-estate listings' combined with known parameters like price and city gives reasonable expectations. A brief mention of returned fields would make it more complete.

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 description coverage is 100%, with all four parameters (city_id, deal_type, max_items, max_pages) already documented in detail. The description only mentions 'by city' and currency, which partially overlaps with the schema but adds no new parameter-specific meaning beyond what the schema provides.

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 tool's function with a specific verb ('Pull'), the exact resource ('SS.ge'), and geographic scope ('Georgia's biggest real-estate classifieds portal'). It distinguishes itself from siblings by naming the unique site and location, making it unmistakable which tool to use for Georgian listings.

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 context: it pulls live listings by city with seller-set currency, and explicitly notes 'No login, no browser, no proxies.' While it doesn't name alternative tools for other countries, the strong SS.ge branding makes the intended use obvious, though an explicit 'use for Georgia' comparison would improve it.

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

B3.4/5.0
Disambiguation2/5

Many tools have overlapping purposes, with over a dozen real-estate scrapers and half a dozen job boards differentiated only by geography. While descriptions are clear, an agent would struggle to pick the correct tool without prior knowledge of the specific site or region, leading to frequent misselection.

Naming Consistency2/5

Tool names use a mix of lowercase-hyphenated (boss-az, clinical-trials-monitor), underscore (pricing_info), and long descriptive phrases (official-gazette-regulatory-action-router). No consistent verb_noun pattern exists; some start with source domains, others with action nouns. This lack of predictability makes navigation confusing.

Tool Count3/5

36 tools is on the heavy side for a server that could have been more focused. While a 'data hub' can justify many endpoints, the high number of near-identical scrapers (12+ real estate, 6+ job boards) suggests bloat rather than well-scoped functionality. A leaner set with parameterized regional filters would be more appropriate.

Completeness2/5

The claimed domain 'Market and Regulatory Data Feeds' is poorly served: there are no stock/forex/commodity price feeds, few global regulatory sources (only FDA, SEC, EU tenders), and many tools are for job and property listings which are tangential. The set feels like a random aggregation rather than a coherent surface, with obvious gaps for core market and regulatory data.

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