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Gondola Award Travel Search

get_vehicle_booking_link

Read-only

Get a Gondola.ai deep link for a specific vehicle from search results. Use this to share a booking page URL the user can complete on the web, or as a fallback when in-conversation booking via book_vehicle is unavailable. Returns a Gondola checkout link for the selected vehicle; the traveler completes the reservation there. In-conversation booking via book_vehicle is partner-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rate_codeYesRate code of the selected vehicle.
search_idYesSearch ID from search_vehicles.
vendor_codeYesVendor code from search results.
pickup_datetimeYesPickup date and time in ISO format (e.g. "2025-03-15T10:00:00").
dropoff_datetimeYesDrop-off date and time in ISO format (e.g. "2025-03-20T10:00:00").

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 convey read-only and non-destructive behavior, so the description adds value by explaining that the traveler completes the reservation on the web and that in-conversation booking via book_vehicle is partner-only. This clarifies the operational outcome beyond the schema and annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences with no wasted content: purpose, usage, and return/fallback context are each covered. It is front-loaded and efficiently structured, though the first and third sentences overlap slightly in describing the return value.

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 read-only link-generation tool with a full input schema and an output schema present, the description is nearly complete. It covers what the tool returns, when to use it, and the key fallback condition. Minor details like authentication or link expiration are not addressed, but they are not essential for correctness.

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 schema already documents all five required parameters. The description adds general context by tying the parameters to search results but does not add parameter-level meaning beyond what the schema provides; the baseline of 3 is appropriate.

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 verb and resource: getting a Gondola.ai deep link/checkout link for a specific vehicle from search results. It clearly distinguishes the tool from booking tools by emphasizing the returned artifact is a shareable web URL where the traveler completes the reservation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Explicitly says when to use it: to share a booking page URL for web completion, or as a fallback when in-conversation booking via book_vehicle is unavailable. It also names the alternative and the condition that selects it, which is strong usage guidance.

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.