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Gondola Award Travel Search

get_booking_link

Read-only

Get a booking link for a hotel on Gondola. Use this when a user wants to book a specific hotel. Returns a URL to the hotel's booking page with dates pre-filled. Pass gondola_rate_id when a specific rate is known so the link deep-links straight to that rate's checkout page.

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.
num_adultsNoNumber of adult guests.
gondola_rate_idNoOptional rate ID from get_hotel_details or compare_rates. When provided, the link deep-links straight to that rate's checkout page instead of the generic hotel page.

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 declare readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral context: it returns a URL rather than performing a booking, and explains how providing gondola_rate_id changes the destination from a generic hotel page to a rate-specific checkout page. No contradiction with 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?

Three sentences with no filler. The primary purpose is stated first, the usage trigger second, and the optional parameter behavior last. Every sentence earns its place and the structure front-loads the most important information.

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?

For a low-complexity, read-only link-generation tool with full schema coverage and an output schema, the description is complete. It tells the agent what the tool does, when to use it, what it returns, and how the optional parameter changes the result. Nothing critical is missing.

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 parameters are already well documented. The description mostly restates what the gondola_rate_id schema says, adding little new semantic value beyond confirming the deep-linking behavior. With full schema coverage, baseline 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?

States a specific verb and resource: 'Get a booking link for a hotel on Gondola.' It further clarifies the tool returns a URL with pre-filled dates, distinguishing it from an actual booking operation. The optional rate deep-link behavior is clearly described, making the tool's purpose unambiguous even among siblings like get_booking.

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?

Provides an explicit usage trigger: 'Use this when a user wants to book a specific hotel.' This gives clear context for when to invoke the tool, but it does not explicitly mention alternatives or state when not to use it, such as when a user wants to complete a booking rather than get a link.

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.