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Gondola Award Travel Search

get_hotel_details

Read-only

Get detailed information, room types, and rates for a specific hotel. Use this after search_hotels to get full details for a hotel the user is interested in. Returns room options with pricing, cancellation policies, and amenities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkinYesCheck-in date in YYYY-MM-DD format.
checkoutYesCheck-out date in YYYY-MM-DD format.
hotel_idYesThe hotel's Vervotech property ID (returned by search_hotels).
num_adultsNoNumber of adult guests.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already mark readOnlyHint=true and destructiveHint=false; the description reinforces this with 'Get detailed information... Returns room options with pricing, cancellation policies, and amenities.' It adds useful context about the response contents without contradicting 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?

Two sentences with no filler: the first states the action and scope, the second gives the usage sequence and return summary. Every sentence earns its place and the key information is front-loaded.

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 annotations covering safety, a full input schema, and an output schema present, the description provides the missing contextual pieces: when to call this tool (after search_hotels) and what kind of data it returns. Nothing critical is missing for an agent to select and invoke it 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 100%, so the baseline is 3. The description does not add meaning beyond the schema; even the hotel_id source is already documented in the schema as 'returned by search_hotels'.

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?

Description states a specific action ('get detailed information, room types, and rates') on a specific resource ('a specific hotel'), and clearly distinguishes from search_hotels by positioning it as the follow-up detail call. The return content is also specified, leaving no ambiguity about what this tool does.

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 says 'Use this after search_hotels', giving a clear sequence and context of when the tool is appropriate. It does not enumerate alternatives or when-not-to-use cases, but the timing guidance is strong enough to route an agent correctly.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct resource and action; no two tools have overlapping purposes. For example, search_hotels, get_hotel_details, get_hotel_reviews, and get_hotel_stats all address different aspects of hotel research.

Naming Consistency5/5

Tool names follow consistent patterns: search_ for searches, get_ for retrievals, book_ for bookings, and a few standalone verbs like cancel_, create_, delete_. All use snake_case with no mixing of conventions.

Tool Count4/5

With 31 tools, the server is on the high side but covers a broad domain (hotels, flights, vehicles, loyalty, payments). Most tools are justified, though a few hotel analysis tools could potentially be consolidated.

Completeness3/5

Hotels and vehicles have near-complete lifecycle coverage (search, details, book, manage), but flights are missing a book_flight tool, and hotel cancellation is not present. These gaps limit completeness.