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Find bookable powder trips

find_powder_trips
Read-onlyIdempotent

Rank ski resorts by 14-day powder forecast and get handpicked luxury hotels with booking links for your next trip.

Instructions

Powder trips you can BOOK: ranks resorts by their 14-day forecast (best chance of fresh snow in the bookable window) and returns handpicked luxury ski hotels at each — "where to go AND where to stay". Use for "where should I book for powder", "best powder trip this month", "book a ski trip with good snow coming". Optional vibe filter (lux | hip | family | budget) shows only hotels handpicked into that tier. Each hotel carries an attribution-tagged booking link; booking completes on LUXSKI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vibeNoOnly show handpicked hotels in this tier: lux, hip, family, or budget
limitNoNumber of destinations (default: 5)
regionNoFilter destinations by region

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).
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint. Description adds that it uses 14-day forecast and handpicked hotels, but does not contradict annotations. No additional behavioral context beyond what annotations imply.

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?

Single paragraph with front-loaded purpose, though slightly lengthy. Every sentence adds value including examples and optional filter explanation.

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?

Covers purpose, parameters, usage examples, and output (booking links). No missing information for an agent to use effectively.

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 covers all parameters with descriptions. Description adds value by explaining default limit (5) and the purpose of vibe filter ('shows only hotels handpicked into that tier').

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 it ranks resorts by 14-day forecast and returns handpicked luxury hotels, using specific verbs like 'ranks' and 'returns'. It distinguishes from siblings like find_best_powder by focusing on bookable trips with hotel recommendations.

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 explicit query examples such as 'where should I book for powder' and explains optional vibe filter. No explicit when-not-to-use, but context is clear enough.

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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