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Market and Regulatory Data Feeds — Zinin M2M Hub

PropertyFinder.ae UAE Real Estate Listings

propertyfinder-gulf
Read-only

Pull live apartment, villa, penthouse and townhouse listings straight from PropertyFinder.ae — the UAE's biggest real-estate portal — by deal type and emirate, sorted freshest-first. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emirateNoWhich UAE emirate to search. Each is a sitemap-declared, robots.txt-allowed PropertyFinder.ae page — this Actor does not use the /en/search endpoint (see README FAQ).dubai
deal_typeNo`sell` for properties for sale, `rent` for properties for rent.sell
max_itemsNoMaximum number of listing rows to return in this run, taken from the freshest candidates collected (see max_listing_age_days).
max_pagesNoHow many result pages to scan (PropertyFinder shows ~20-25 listings per page) before picking the freshest max_items from what was collected.
max_listing_age_daysNoOptional. Drop any listing whose real posted date is older than this many days. Leave empty to keep the freshest listings regardless of age.

TDQS

A4/5.0
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 context beyond this: 'No login, no browser, no proxies' and a per-call cost. It also references robots.txt and sitemap usage in the emirate parameter, giving insight into compliance and technical approach, though it does not describe failure modes or return formats.

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?

Two concise sentences: the first covers the core function and filters; the second covers logistics (no login, cost). No filler, front-loaded with the most relevant action. Every clause adds information.

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?

For a tool with five optional parameters and no output schema, the description provides a complete high-level picture: what data is fetched, the source, sorting, and operational constraints. The parameter descriptions flesh out the details. It does not describe the response structure, but that is often acceptable when listing rows are predictable and no output schema exists.

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% and each parameter has a detailed description with enums and constraints. The main description adds no new parameter semantics beyond naming deal type and emirate, which is already covered. Baseline 3 is appropriate since the schema carries the burden.

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 uses specific verbs and resources: 'Pull live apartment, villa, penthouse and townhouse listings straight from PropertyFinder.ae', and identifies the portal as the UAE's biggest real-estate portal. It clearly distinguishes from sibling real-estate tools by geographic scope and portal, avoiding any ambiguity.

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 for UAE real-estate listings but does not explicitly state when to use this tool over alternatives, nor does it exclude other tools. It lacks explicit 'when to use' or 'when not to use' guidance that would rank higher.

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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