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Imovirtual Portugal Real Estate Listings

imovirtual-lisbon
Read-only

Pull live apartment and house listings straight from Imovirtual.com — Portugal'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
cityNoImovirtual.com location path segment(s), e.g. "lisboa/lisboa" (district/council) for the city of Lisbon.lisboa/lisboa
deal_typeNo`comprar` for sale listings, `arrendar` for rentals.comprar
max_itemsNoMaximum number of listing rows to return in this run.
max_pagesNoHow many result pages to walk before stopping.
property_typeNo`apartamento` for flats, `casa` for houses.apartamento

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already cover read-only safety (readOnlyHint=true, destructiveHint=false). The description adds useful behavioral context beyond that: it promises live data, no auth or browser needed, and discloses the per-call cost ($0.02/call). This is meaningful added value without contradicting any 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 the core action and resource, followed by concise practical notes. Every clause adds value; the pricing sentence is brief and does not distract from the primary purpose.

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 listing-pulling tool with rich annotations and a fully described 5-parameter schema, the description covers the essential context: source, location, filters, non-authenticated access, and cost. It does not describe the return format in detail, but the absence of an output schema is mitigated by the straightforward 'listings' concept and the schema's reference to 'listing rows'.

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 every parameter has a clear description (city path, deal_type enums, etc.). The description only restates the filter categories ('by deal type, property type and city') without adding novel semantic details, so it stays at the baseline for fully described schemas.

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') with a clear resource ('live apartment and house listings straight from Imovirtual.com') and specifies the filtering dimensions (deal type, property type, city). It unambiguously identifies the Portuguese real-estate domain, distinguishing it from country-specific sibling tools.

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 is for Imovirtual.com listings in Portugal, and states practical benefits ('No login, no browser, no proxies') that help decide when to use it. It does not explicitly name alternatives or exclusions, but the Portugal-specific scope is immediately evident from the text and sibling context.

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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