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Market and Regulatory Data Feeds — Zinin M2M Hub

Storia Romania Real Estate Listings

storia-bucharest
Read-only

Pull live apartment and house listings straight from Storia.ro — Romania'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
cityNoStoria.ro location path segment(s), e.g. "bucuresti" for Bucharest, or "harghita/miercurea-ciuc" (county/city) for smaller towns.bucuresti
deal_typeNo`vanzare` for sale listings, `inchiriere` for rentals.vanzare
max_itemsNoMaximum number of listing rows to return in this run.
max_pagesNoHow many result pages to walk before stopping.
property_typeNo`apartament` for flats, `casa` for houses.apartament

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 safe read-only nature is known. The description adds value beyond annotations by stating 'No login, no browser, no proxies' (indicating direct API access without auth or scraping overhead) and the pricing model ($0.02/call, x402 on USDC base), which are not disclosed elsewhere. No contradiction with annotations.

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 two sentences, front-loaded with a clear purpose and resource, followed by essential trait highlights (no login/browser/proxies) and pricing. Every sentence serves a purpose, with no redundant filler or repetition of required fields.

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 filtered-list tool without an output schema, the description covers the core function, filters, and a key behavioral trait (no auth needed). It doesn't describe the return format or pagination behavior, but the schema hints at pagination via max_pages. The lack of explicit response fields is a minor gap, but the tool's purpose is sufficiently clear for an agent to select and invoke it correctly.

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 filtering by deal type, property type, and city, which aligns with the schema, but it doesn't add any syntax, format, or additional meaning beyond what the parameter descriptions already provide. The schema's enum and title fields offer sufficient semantic detail.

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 verb 'Pull' and the resource 'Storia.ro', specifying the scope as 'apartment and house listings' filtered by deal type, property type, and city. It differentiates this tool from sibling real-estate listing tools by explicitly naming Romania's biggest real-estate portal, making it distinct from alternatives like otodom-warsaw or rightmove-london.

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: this is for pulling Romanian apartment/house listings from Storia.ro, and notes 'No login, no browser, no proxies', suggesting ease of use. It doesn't explicitly exclude alternatives or provide when-not-to-use guidance, but the regional and portal specificity strongly implies appropriate use cases for Romania-focused queries.

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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