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Tuki — Travel Marketplace (Chile y Latinoamérica)

Buscar hoteles / pousadas

search_hotels
Read-onlyIdempotent

Search Tuki Hotel landings (pousadas, boutiques, hostels listed as /hotel/). Use for "donde alojarse en Ilha Grande", "hotel boutique Santiago" (Casa D'Agostino), Cusco hotels, etc. Distinct from search_accommodations (individual rooms/cabins). Returns name, location, price-from, canonical URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFree text (e.g. "ilha grande", "casa dagostino", "pousada").
offsetNoPagination offset. Use next_offset from a previous response.
max_resultsNo
response_formatNoconcise = high-signal fields + canonical URL (token-cheap, default). detailed = full record.concise

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
countYes
totalYes
offsetYes
resultsYes
has_moreYes
next_offsetNo

TDQS

A4.7/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent, openWorld, and non-destructive hints. The description adds useful context by stating the return fields (name, location, price-from, canonical URL) and the domain of 'landings', which goes beyond the bare annotations. It does not contradict 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 three sentences, front-loaded with the core action, and every sentence adds value (what it searches, example use cases, distinction from sibling, output fields). No waste or redundancy.

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 read-only search tool with an output schema, the description sufficiently covers purpose, usage context, output highlights, and differentiation. The provided annotations and schema fill in remaining details, leaving no obvious gaps for an agent to select and invoke the tool.

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 75%, and the description adds meaningful example query strings that help understand the 'query' parameter. While it doesn't explain offset/max_results/response_format beyond the schema, the examples provide practical value beyond the structured field descriptions.

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 action ('Search Tuki Hotel landings') and the resource ('pousadas, boutiques, hostels listed as /hotel/<slug>'). It also differentiates from the sibling tool search_accommodations, making the purpose unambiguous.

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 provides concrete example queries ('donde alojarse en Ilha Grande', 'hotel boutique Santiago') and explicitly contrasts with search_accommodations, giving clear when-to-use and when-not-to-use guidance. No alternatives are left ambiguous.

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

Every tool targets a distinct resource or action: get_* tools retrieve details for specific entity types, search_* tools query specific verticals, and list_* tools enumerate categories. The potential overlap between search_accommodations and search_hotels is explicitly disambiguated in descriptions, and search_unified vs per-vertical searches have clear routing rules.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern: get_*_detail for lookups, search_* for queries, list_* for enumerations, and recommend as the sole one-word but still predictable exception. Naming is uniform with snake_case throughout, making the overall structure highly predictable.

Tool Count4/5

With 23 tools, the server is on the heavier side, but the breadth of verticals (accommodations, cars, events, experiences, hotels, destinations, bus routes, travel guides, solutions) justifies each tool's presence. The number is slightly above the ideal but still well-scoped for a multi-category marketplace.

Completeness5/5

The tool surface covers the full browsing and recommendation lifecycle: search and list across verticals, retrieve detailed information for any entity, access editorial travel guides, and generate checkout URLs for booking. No critical operations are missing for the server's purpose as a read-only recommendation and conversion layer.

Resources