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Gondola Award Travel Search

book_hotel

Destructive

Book a hotel room using a rate from get_hotel_details. Requires guest details and a saved payment method. Use get_payment_methods to find the payment ID. The gondola_rate_id comes from the room rates returned by get_hotel_details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
given_nameNoGuest's first name.
payment_idYesPayment method ID from get_payment_methods.
family_nameNoGuest's last name (minimum 2 characters).
phone_numberNoGuest's phone number with country code (e.g. "+1-555-123-4567").
email_addressNoGuest's email for confirmation.
gondola_rate_idYesThe rate ID from get_hotel_details room rates.
special_requestNoOptional special request (e.g. "high floor", "late check-in").
travel_profile_idNoOptional travel profile ID from get_travel_profiles. Prefills any guest details that were not passed explicitly.
loyalty_account_idNoOptional loyalty account ID to earn points and elite credit on this stay. Use the Member Number from get_loyalty_accounts that matches the booked hotel's chain (e.g. the World of Hyatt account for a Hyatt property).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4/5.0
Behavior3/5

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

Annotations already communicate a destructive, open-world side effect, and the description reinforces that this action books a hotel and requires a saved payment method. It does not, however, add details beyond that, such as whether payment is captured immediately, whether the booking can be canceled, or what confirmation is returned; the output schema covers return values, but cancellation/charge behavior is left implicit.

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?

Three tight sentences put the core purpose first and then the two essential ID sources. There is no filler, and the parameter-to-upstream-tool mapping is easy to parse in a single pass.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter destructive booking action, the description plus a fully described schema and output schema gives the agent enough to assemble the call and know there will be a response. It could be more complete by noting charge/cancellation behavior or that the rate can expire before booking, but these are not blockers.

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?

Every parameter is fully described in the input schema, so the schema carries the semantic burden. The description restates the provenance of gondola_rate_id and payment_id, but since the schema already names get_hotel_details and get_payment_methods, the description adds little new parameter meaning beyond grouping them into a workflow.

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 action ('Book a hotel room') and the exact input needed ('a rate from get_hotel_details'), making the tool's purpose unmistakable. It also names the resource type ('hotel'), which separates it from the vehicle-booking sibling without relying on the tool name.

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?

It gives concrete preconditions: guest details, a saved payment method, and a rate from get_hotel_details, and explicitly says to obtain payment_id via get_payment_methods. It doesn't state when not to use this tool or point to an alternative (e.g., book_vehicle), but the hotel context and prerequisite chain make the use case clear.

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.