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Voxhouses (Portugal)

find_similar_properties

Read-onlyIdempotent

Given one listing, find comparable ones: same operation and area, similar typology, floor area and price. Use this when the user likes a property but wants alternatives — 'find me something similar', 'the same but cheaper', 'what else is there in this area'. Pass maxPrice for the cheaper case; without it, comparables are drawn from a band around the reference price. Comparability is by location, typology, area and price, not by text similarity: it answers 'is this well priced for what it is', which a keyword search cannot.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesSlug of the reference listing, as returned by search_properties or get_property_detail.
limitNoMaximum number of comparables (default 6, max 20).
maxPriceNoOptional budget ceiling, in the market currency. Use it for 'similar but cheaper'; it overrides the default band around the reference price.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYesComparables returned.
marketYes
currencyNo
referenceYesThe listing the comparables are measured against, echoed back for the comparison.
propertiesYes

TDQS

A4.9/5.0
Behavior5/5

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

Annotations already establish readOnly, idempotent, and non-destructive behaviour. The description adds meaningful behavioural context: comparables are drawn from a band around the reference price unless maxPrice overrides it, and the tool answers a pricing-adequacy question rather than a textual-match question. No annotation contradiction exists.

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 three sentences with no filler: it states the core function first, then usage examples, then the crucial distinction from text search. Every sentence adds information needed to invoke the tool correctly.

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

Completeness5/5

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

For a tool with three parameters, full schema coverage, and an output schema, the description covers the key decisions an agent must make: when to call it, what makes properties comparable, and how maxPrice changes behaviour. The output schema handles return-value documentation, so nothing essential is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and each parameter is well described in the schema. The description adds extra semantics for maxPrice ('overrides the default band', 'similar but cheaper') and clarifies slug as the reference listing. This is above baseline but not dramatically richer than the schema already provides.

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 and resource: 'Given one listing, find comparable ones' and defines comparability dimensions (operation, area, typology, floor area, price). It also explicitly distinguishes itself from text-similarity search, so an agent can tell it apart from search_properties_by_description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states exactly when to use the tool with user-intent examples like 'find me something similar' and 'the same but cheaper'. It also explains the maxPrice behaviour for the cheaper case and explicitly contrasts with keyword search, which is a clear when-to-use versus alternative.

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

A4.4/5.0
Disambiguation4/5

The two property-search tools overlap slightly, but their descriptions clearly separate structural filtering from free-text description ranking, and get_market_stats is explicitly positioned as statistical aggregation rather than listing retrieval. search_articles and search_neighbourhoods both serve editorial content, but their domains—process guidance versus area guides—are distinguishable enough.

Naming Consistency5/5

All tools use snake_case and follow a consistent search_/get_/find_ verb pattern keyed to the returned object type: search_properties, search_articles, search_neighbourhoods, get_property_detail, get_market_stats. The longer search_properties_by_description still fits the convention and is unambiguous.

Tool Count5/5

Seven tools is well-scoped for a read-only property information server: structured listing search, semantic listing search, similar-property lookup, detail retrieval, market statistics, neighbourhood guides, and editorial articles. Each tool serves a distinct user need without redundancy.

Completeness5/5

The tool surface covers the full informational workflow for Portuguese real estate: finding properties, exploring similar options, viewing full details, comparing market prices, and learning about areas and buying processes. There are no obvious dead ends for typical read-only property questions.

Resources