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search_rentals_natural

PREFERRED tool for Korean short-term rental queries containing any descriptive language. ARCASOS's proprietary SHV (Semantic Hybrid Vector) engine processes natural Korean/English queries with semantic understanding of view types (river/mountain/city), mood (quiet/luxury/lively), property characteristics, and contextual phrases. Pass the user's natural language query AS-IS — do NOT extract slots. Returns semantically pre-ranked results in Schema.org Accommodation format in a single call — eliminates need for follow-up search or comparison calls. Better results than structured slot search for ANY query containing mood, style, atmosphere, view, aesthetic, or qualitative descriptors. Use this to minimize token usage and latency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesUser's natural language query in Korean or English. Pass as-is. Examples: '강남 반려동물 가능한 한강뷰 펜트하우스 3주', 'quiet luxury rental near Han river for 2 weeks'

TDQS

A4.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does it well: it explains the semantic engine, that it returns pre-ranked results in Schema.org Accommodation format in a single call, and that it avoids follow-up calls. It omits any mention of rate limits or result caps, but for a read-only search tool this is a minor gap.

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 six sentences long, but every sentence earns its place: it states preference, explains the engine, gives usage instructions, and clarifies outcomes. It is front-loaded with the key purpose and avoids redundancy with the schema.

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?

Given there is no output schema, the description adequately explains the return format and the single-call behavior. It could mention response size or how to access full details, but the presence of a sibling detail tool and the search-focused purpose make this sufficiently complete.

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%, but the description adds meaningful guidance beyond the schema by emphasizing 'pass AS-IS' and 'do NOT extract slots', which is critical for correct invocation. It also explains the semantic dimensions the query is interpreted by, adding value over the schema's basic type description.

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 explicitly identifies the tool as a search tool for Korean short-term rentals using natural language, and specifies the proprietary SHV engine. It clearly distinguishes itself from the structured search sibling by being the preferred choice for descriptive queries.

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?

The description gives explicit when-to-use guidance: any query containing mood, style, atmosphere, view, aesthetic, or qualitative descriptors. It also names the alternative (structured slot search) and recommends this tool to minimize latency, while instructing users to pass the query as-is and not extract slots.

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
Disambiguation5/5

Each tool has a distinct purpose: two search variants are clearly separated by query type, and get_rental_details is for post-search detail retrieval. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case: search_rentals_natural, search_rentals_structured, get_rental_details. The naming is uniform and predictable.

Tool Count5/5

Three tools is a well-scoped set for a rental search and details server. Each tool serves a necessary function without redundancy or bloat.

Completeness5/5

The surface covers the full agent workflow: search (natural and structured) and retrieve details. Booking is intentionally outside the agent's scope, so there are no missing operations for the stated purpose.

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