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Gondola Award Travel Search

get_vehicle_details

Read-only

Get detailed information about a specific rental vehicle option. Use this after search_vehicles to get extras, insurance options, charges, and cancellation policy for the vehicle the user wants to book.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
desk_kindNoDesk classification from the selected vehicle result, when present.
rate_codeYesRate code from search results.
search_idYesSearch ID from the vehicle search results.
acriss_codeNoACRISS code from the selected vehicle result; pass it through to disambiguate classes.
vendor_codeYesVendor code from search results (e.g. "ZE" for Hertz, "AL" for Alamo).
pickup_locationNoPickup location from the selected vehicle result; pass it through for metro searches.
vendor_location_idNoVendor desk identifier from the selected vehicle result, when present.

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, and the description aligns with that by saying 'Get detailed information.' It adds behavioral context beyond annotations by specifying what categories of details are returned. Since an output schema exists, the description does not need to enumerate return fields.

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?

The description is two sentences with no filler. The first sentence states the core function directly, and the second provides workflow context and the content categories the agent can expect. Every word earns its place.

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 read-only detail tool with a full output schema, complete parameter documentation, and annotations covering safety, the description covers purpose, relationship to search_Vehicles, and the types of information returned. Nothing critical for selecting and invoking the tool 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 each parameter already has a clear definition such as 'Rate code from search results.' The description reinforces the workflow context by saying to use it after search_vehicles, but it does not add parameter-specific meaning beyond the schema. 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?

The description uses a specific verb ('Get') and a concrete resource ('detailed information about a specific rental vehicle option'). It also names the exact content areas (extras, insurance options, charges, cancellation policy) and positions the tool as the follow-up to search_vehicles, which distinguishes it from search and booking-focused siblings.

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?

The description gives a clear trigger condition: 'Use this after search_vehicles to get extras, insurance options, charges, and cancellation policy for the vehicle the user wants to book.' It does not explicitly state when not to use it or name alternatives like get_vehicle_booking, but the workflow context is clear enough for an agent to route 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.