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Gondola Award Travel Search

book_vehicle

Destructive

Book a rental vehicle from a search result. Requires a Gondola account and a saved payment method (use get_payment_methods to find the payment ID). The vendor_code, rate_code, acriss_code, and search_id all come from search_vehicles results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rate_codeYesRate code of the selected vehicle from search results.
search_idYesSearch ID from search_vehicles.
given_nameYesRenter's first name.
payment_idYesPayment method ID from get_payment_methods.
acriss_codeYesACRISS vehicle classification code from search results.
family_nameYesRenter's last name.
vendor_codeYesVendor code from search results (e.g. "ZE" for Hertz).
phone_numberYesRenter's phone number with country code (e.g. "+1-555-123-4567").
email_addressYesRenter's email for confirmation.
pickup_locationNoOptional pickup airport IATA code of the selected vehicle. Pass through whatever pickup_location the search returned for this vehicle to disambiguate metro fanouts (e.g. JFK vs LGA in NYC).
loyalty_account_idNoOptional loyalty account ID to earn points on this rental.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already convey destructive and open-world character, and the description adds meaningful auth/financial context: booking requires an account and a saved payment method, implying a charged reservation. It does not over-explain behaviors the annotations already cover, and nothing contradicts them.

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 zero filler; the core action is first, then prerequisites, then parameter provenance. Each clause earns its place.

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 an 11-parameter destructive booking action, the description supplies the missing real-world context—account, payment, and search-result provenance—that the schema cannot. An output schema exists to cover return values, so the only minor gap is not addressing openWorldHint explicitly or describing side effects in more detail.

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?

With 100% schema coverage, the schema already documents every parameter, so the baseline is 3; the description adds provenance for four parameters (vendor_code, rate_code, acriss_code, search_id) and maps payment_id to get_payment_methods. This saves an agent from guessing where booking identifiers originate.

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?

States a specific action ('Book') and object ('a rental vehicle from a search result'), which clearly distinguishes it from book_hotel, cancel_vehicle_booking, and get_vehicle_booking_link. The phrase 'from a search result' anchors it to search_vehicles rather than a general booking operation.

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?

Names required preconditions (Gondola account, saved payment method) and tells the agent exactly where to source payment_id (get_payment_methods) and vehicle identifiers (search_vehicles). It does not explicitly list when not to use it or mention sibling alternatives such as get_vehicle_booking_link, so it stops short of a full 5.

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.