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Gondola Award Travel Search

create_rate_alert

Create a rate alert to monitor a hotel for price drops. The user will be notified by email when the rate drops. Optionally specify dates, or leave them out to monitor any two-night stay.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
checkinNoOptional check-in date in YYYY-MM-DD format.
checkoutNoOptional check-out date in YYYY-MM-DD format.
hotel_idYesThe hotel's Vervotech property ID (from search results).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations provide some hints (openWorldHint, destructiveHint), and the description adds valuable behavioral context: the user receives an email when the rate drops, and omitting dates means monitoring any two-night stay. It does not cover duplicate-alert behavior or monitoring duration, but these are not critical for invoking the tool.

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 three sentences with no wasted words. It front-loads the core purpose and notification behavior, then adds the optional-date nuance without repetition.

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 simple create operation with one required parameter, three fully documented optional parameters, and an output schema, the description provides all necessary context: purpose, notification mechanism, and date semantics. There are no meaningful gaps that would prevent an agent from invoking the tool correctly.

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?

The schema already documents all three parameters clearly, so the baseline is 3. The description adds meaningful semantic detail: leaving out checkin/checkout means the alert monitors any two-night stay, which goes beyond the schema's individual parameter descriptions.

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 clearly states the action: create a rate alert to monitor a hotel for price drops, with email notification. It distinguishes this from sibling tools like get_rate_alerts and delete_rate_alert by naming exactly what the tool creates and its purpose.

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 clear context for when to use the tool: when a user wants to be notified about hotel price drops. It also explains date behavior, but it does not explicitly contrast this tool with alternatives such as get_rate_alerts or delete_rate_alert, though no misleading guidance is present.

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.