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Market and Regulatory Data Feeds — Zinin M2M Hub

Otodom Poland Real Estate Listings

otodom-warsaw
Read-only

Pull live apartment and house listings straight from Otodom.pl — Poland's biggest real-estate classifieds portal — by deal type, property type and city. No login, no browser, no proxies. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoOtodom.pl location path segments, e.g. "mazowieckie/warszawa/warszawa/warszawa" (voivodeship/city/city/city) for the city of Warsaw.mazowieckie/warszawa/warszawa/warszawa
deal_typeNo`sprzedaz` for sale listings, `wynajem` for rentals.sprzedaz
max_itemsNoMaximum number of listing rows to return in this run.
max_pagesNoHow many result pages to walk before stopping.
property_typeNo`mieszkanie` for flats, `dom` for houses.mieszkanie

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish read-only and non-destructive behavior. The description adds useful behavioral details: 'live' fetching, no authentication/proxy setup, and the $0.02/call fee with x402 payment rail. These go beyond the structured annotations and help the agent understand operational and cost implications.

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 compact and front-loaded: the first sentence identifies the resource and filters, and the second adds access and pricing. Every clause earns its place with no filler. The em-dash structure is slightly informal but does not hurt readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema, so the description should hint at what returned listing rows contain. It says 'live apartment and house listings' but does not specify fields like price, URL, or number of rooms. While the input parameters are thoroughly documented, the absence of any return-format description leaves a notable gap for a scraping tool.

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%, so the baseline is 3. The description mentions deal type, property type, and city, but this merely echoes the schema fields. It does not add new semantic meaning for max_items, max_pages, or the exact path format that the schema already explains.

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 a specific verb ('Pull') and resource ('Otodom.pl — Poland's biggest real-estate classifieds portal') with clear scope (by deal type, property type, and city). It immediately distinguishes itself from sibling real-estate tools by naming the exact source and country.

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: it is the tool for Polish Otodom.pl listings, highlighted by 'Poland's biggest real-estate classifieds portal'. It also notes 'No login, no browser, no proxies' as practical advantages. However, it does not explicitly mention when not to use it or name alternatives, so it misses the top tier.

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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