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Gondola Award Travel Search

compare_rates

Read-only

Compare cash vs points rates and render a side-by-side rate_comparison widget for one or more hotels. Use this whenever the user is making a cash-vs-points decision — whether focused on a single hotel ("compare cash and points at Park Hyatt Tokyo") or weighing top picks against each other ("which of these is the best points redemption?"). Pass an array of one to five hotel_ids resolved from search_hotels. Returns cash rate, points rate, CPP valuation, and deal scores per hotel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkinYesCheck-in date in YYYY-MM-DD format.
checkoutYesCheck-out date in YYYY-MM-DD format.
hotel_idsYesArray of one to five hotel IDs to compare. A single-element array is valid when the user is focused on one hotel. Get these from search_hotels results.
num_adultsNoNumber of adult guests.

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 signal readOnlyHint=true and destructiveHint=false, and the description adds meaningful behavioral detail beyond that: it renders a rate_comparison widget and returns specific valuations (cash rate, points rate, CPP, deal scores). This gives the agent a clear picture of what invoking the tool will do and what it will produce.

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 front-loaded with the core purpose, then gives usage context, parameter guidance, and return values in four focused sentences. Every sentence earns its place, and the examples are compact yet illustrative.

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?

The description covers purpose, when to use, how to source hotel_ids, the valid array size, required dates, and outputs. With full schema coverage and an output schema present, nothing essential is missing for an agent to select and invoke this tool correctly.

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 baseline is 3. The description's parameter guidance—'Pass an array of one to five hotel_ids resolved from search_hotels'—mostly repeats what the schema already states. It adds no new semantic detail beyond the schema, so no higher score is warranted.

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 clear verb-resource pair: 'Compare cash vs points rates' and mentions rendering a side-by-side rate_comparison widget. It also names the specific outputs (cash rate, points rate, CPP valuation, deal scores), which clearly distinguishes it from sibling tools like get_multi_night_rates or diagnose_rates.

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 explicitly states when to use the tool: 'Use this whenever the user is making a cash-vs-points decision.' It gives concrete example phrasings and covers both single-hotel and multi-hotel scenarios. It does not explicitly list when not to use it or name alternative tools, so it stops short of a 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.