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Tuki — Travel Marketplace (Chile y Latinoamérica)

URL de checkout pre-cargada

get_checkout_url
Read-onlyIdempotent

Build a canonical Tuki checkout/detail URL for a given experience or accommodation slug, optionally with travelers count and date. The user completes payment on Tuki.cl. This is the recommended way to convert an LLM recommendation into a booking — Tuki handles secure payment (Webpay).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoDate in ISO format YYYY-MM-DD.
kindYesProduct kind.
slugYesProduct slug.
travelersNoNumber of travelers/guests.

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the bar is lower. The description adds that the user completes payment on Tuki.cl and that Tuki handles secure payment (Webpay), which clarifies the external handoff and that the tool only generates a URL. It also implies the URL is pre-loaded with parameters, adding value beyond the 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 action and resource, followed by the payment context. Every sentence earns its place with zero redundancy or irrelevant details.

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?

The tool is simple, with full schema coverage and strong annotations. The description covers the purpose, usage context, and payment handoff. Although there is no output schema, the tool's behavior (building a URL) is clear from the description itself, making it complete for the agent.

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 100%, so the baseline is 3. The description repeats that travelers count and date are optional and mentions 'experience or accommodation slug,' but this adds no meaning beyond the schema's property descriptions. No additional parameter semantics are provided.

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 tool builds a canonical Tuki checkout/detail URL for a given product slug, distinguishing it from sibling search/detail tools. It also includes the specific use case of converting an LLM recommendation into a booking, making its 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 Guidelines4/5

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

The description explicitly recommends this tool for converting an LLM recommendation into a booking, providing clear context for when to use it. However, it does not mention when not to use it or alternatives, so it lacks explicit exclusions.

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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