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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, so the safety profile is covered. The description adds value by disclosing that no login, browser, or proxies are required, and by providing cost information ($0.02/call). These are useful behavioral traits beyond the annotations, and there is no contradiction.

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, front-loaded with the core action ('Pull live real-estate listings straight from SS.ge'), and includes essential caveats (currency, no auth, cost). Every sentence contributes useful information with 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 tool's simplicity and the rich schema/annotations, the description provides sufficient context: source, scope, currency behavior, access requirements, and cost. It does not detail output fields, but the absence of an output schema and the straightforward nature of a listing pull make this acceptable. The description complements the structured data well.

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?

The input schema provides 100% parameter coverage with rich descriptions, including known city IDs and deal_type behavior. The description itself only mentions 'by city' and currency, which adds no meaningful parameter-level detail beyond what the schema already documents. Thus, the schema does the heavy lifting, and the description is not required to compensate.

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') and resource ('live real-estate listings straight from SS.ge'). It also distinguishes itself from sibling tools by naming the unique portal (SS.ge) and geographic focus (Georgia), and adds a specific detail about currency (GEL or USD) as set by the seller.

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 provides clear context for when to use this tool: when a user needs live real-estate listings from Georgia's SS.ge portal, organized by city. It does not explicitly name alternatives or state exclusions, but the country and portal are unambiguous, which is sufficient to guide an agent among many similar listing tools.

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
Disambiguation3/5

Many tools are distinct by region/source (e.g., otodom-warsaw vs. imovirtual-lisbon), but there are overlapping categories: multiple real estate, job, SEC, and crypto tools. Watchers/alerts (job-alert, re-new-listing-alert, tender-alert) could be confused with their corresponding search tools, and token tools (live-price-oracle, token-launch-radar, rug-pull-scorer) have similar purposes.

Naming Consistency2/5

Names follow no consistent pattern: some are hyphenated source-location (emlakjet-istanbul), some are generic descriptors (job-alert, pricing_info uses underscore), and some are verbose phrases (official-gazette-regulatory-action-router). There is no consistent verb_noun or noun structure, making it hard to predict what a tool does from its name.

Tool Count2/5

With 36 tools, the server is in the 'too many' range (25+). The broad 'Market Data' theme partially justifies the count, but it feels bloated with many single-country listings and overlapping watchers that could be consolidated.

Completeness3/5

The domain is loosely defined as 'market data,' spanning real estate, jobs, tenders, SEC filings, crypto, and clinical trials. While it covers niche areas well, there are notable gaps: no general stock/ETF quotes, no forex/commodities data, and no cross-country aggregate search. The mix of scrapers and alerts leaves the surface feeling uneven.

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