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Glama

Find lodging & booking link

book_lodging
Idempotent

Book lodging near a ski resort via LUXSKI. Input resort slug and dates for availability or add hotelName to prebook and get a checkout URL.

Instructions

Lodging near a resort via LUXSKI for the signed-in user. With a specific hotelName + checkIn + checkOut it PREBOOKS a live rate and returns a LUXSKI checkout URL to complete payment (we hold the rate + attribute the booking; we never charge). Without those it returns availability + a booking link. Requires a SnowSure user access token (OAuth). Payment always completes on LUXSKI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesResort slug to find lodging near, e.g. verbier
guestsNoNumber of adults, optional
checkInNoCheck-in date (YYYY-MM-DD)
checkOutNoCheck-out date (YYYY-MM-DD)
hotelNameNoSpecific hotel to prebook (from find_powder_trips / search). With dates → returns a checkout URL.
powderEventIdNoOptional powder-event id to attribute the booking to

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownNoHuman-readable markdown summary of the tool result (may be omitted when structuredContent carries a typed payload; content[0].text always has the prose).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.6/5.0
Behavior5/5

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

Despite annotations providing idempotentHint and openWorldHint, the description adds critical behavioral context: 'we never charge', 'we hold the rate + attribute the booking', 'payment always completes on LUXSKI'. It also notes OAuth requirement, going beyond 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?

The description is concise at 4 sentences, front-loading the purpose. It could be slightly more structured (e.g., bullet points) but is efficient and clear.

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?

Given the tool's complexity (two modes, auth, external payment), the description covers all major aspects: what it does, prerequisites, and side effects. Output schema exists, so return values need not be explained.

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?

Schema coverage is 100% (baseline 3). The description adds meaning by explaining that hotelName+dates trigger prebooking and checkout URL, and that powderEventId is optional for attribution. This enhances understanding beyond schema 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 tool finds lodging near a resort via LUXSKI for the signed-in user. It distinguishes two modes: with hotelName+dates prebooks and returns a checkout URL, without returns availability+booking link. The verb 'find' and 'prebook' are specific and differentiate from siblings like find_flights_to_powder.

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 explains when to use which mode (with vs without hotelName) and requires a SnowSure user access token. However, it does not explicitly state when not to use the tool or mention alternatives, though it is clear in context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.