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Glama

Tuki — Travel Marketplace (Chile y Latinoamérica)

Detalle de un hotel

get_hotel_detail
Read-onlyIdempotent

Get detail for a Tuki Hotel landing: description, location, price-from, canonical /hotel/ URL. Use after search_hotels.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesHotel slug.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the operation as read-only, open-world, and idempotent, so the safety profile is covered. The description adds useful behavioral context by enumerating the response content (description, location, price-from, canonical URL), which goes beyond what annotations say. No contradictions found.

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?

Two concise sentences are directly to the point. Front-loaded information covers purpose, key outputs, and usage sequence with no filler or repetition.

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?

With one required parameter, no output schema, and helpful annotations, the description provides sufficient detail about both input (slug) and expected output fields. No pagination or complex behavior is involved, so this description is complete enough for reliable use.

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?

The schema fully documents the single 'slug' parameter, so baseline is 3. The description adds extra meaning by showing the slug appears in the canonical /hotel/<slug> URL and implying it comes from search_hotels results, which helps an agent understand how to derive the value.

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 ('Get detail') and resource ('Tuki Hotel landing'), and lists concrete returned fields including description, location, price-from, and canonical URL. It clearly distinguishes this from sibling detail tools by focusing on hotel landing pages and the /hotel/<slug> URL pattern.

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?

Explicitly states 'Use after search_hotels,' providing clear when-to-use context. It does not mention when not to use it or alternative tools, but the sequential guidance is a strong usage indicator.

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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