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Tuki — Travel Marketplace (Chile y Latinoamérica)

Buscar alojamientos

search_accommodations
Read-onlyIdempotent

Search Tuki accommodations (boutique lodges, mountain refugios, hotels, cabins, hostels, unique stays) by text or destination. Includes remote locations where major OTAs have no inventory (Cochamó valley, Carretera Austral, Atacama, Patagonia outposts). Returns title, price (CLP), capacity, location, URL. For Hotel landings (pousadas Ilha Grande, Casa D'Agostino, etc. at /hotel/) prefer search_hotels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoFree text search.
offsetNoPagination offset. Use next_offset from a previous response.
price_maxNoMaximum nightly price in CLP. Converted from foreign currency via live FX rates.
price_minNoMinimum nightly price in CLP. Converted from foreign currency via live FX rates.
destinationNoDestination slug filter.
max_resultsNo
property_typeNoType: hotel, lodge, refugio, cabin, hostel, etc.
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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral context by noting the tool includes remote locations (e.g., Cochamó valley, Carretera Austral) and returns specific fields, which helps set expectations about coverage and output beyond what annotations provide.

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 four short sentences, each earning its place: the first states the core action and scope, the second adds unique value (remote locations), the third outlines return fields, and the fourth gives an alternative. It is front-loaded with the most important information and has zero fluff.

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?

Given the tool's moderate complexity (8 optional params, rich schema, output schema exists, comprehensive annotations), the description covers purpose, scope, return values, and a key alternative. Pagination and response format are already documented in the schema, so the description does not need to repeat them. It is complete for an agent to select and invoke the tool 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 88%, so the structured schema already documents the parameters thoroughly. The description adds minimal parameter-level detail, only reinforcing that search can be by 'text or destination' (mapping to query/destination). It does not explain offset, max_results, or response_format beyond what the schema provides, but the high schema coverage means this is acceptable.

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 opens with a specific verb+resource structure: 'Search Tuki accommodations' and immediately clarifies scope with a detailed list of accommodation types (boutique lodges, refugios, hotels, cabins, hostels, unique stays). It also explicitly differentiates from the sibling search_hotels by directing hotel landings to that tool, making the tool's unique purpose unmistakable.

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 clearly states when to use this tool: for searching accommodations by text or destination, especially in remote locations where major OTAs lack inventory. It also gives an explicit when-not: for Hotel landings, prefer search_hotels, naming the exact alternative tool. No other exclusions are needed given the simple read-only search 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

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.

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