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Destination hub

get_destination
Read-onlyIdempotent

Retrieve member ski areas for a multi-mountain destination hub such as Niseko, Chamonix, or Aspen Snowmass. Returns a table of resorts within the hub.

Instructions

Multi-mountain destination hub (Niseko, Chamonix, Aspen Snowmass umbrella) with a table of member ski areas. Use ONLY when the user names the hub itself — NOT for photo gallery (→ get_resort_photos on a specific mountain slug) and NOT for resort guide cards (→ get_resort_info).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesDestination slug (e.g. niseko, chamonix, hakuba, aspen-snowmass) or alias like "hakuba valley"
limitNoMax member resorts to return (default 12)

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).
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds that it returns a table of member ski areas, which is useful behavioral context 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences: first defines purpose and output, second provides usage guidelines. No wasted words, front-loaded with key information.

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 existence of output schema and clear annotations, description is complete enough for an agent to understand the tool's role and when to invoke it versus the many siblings.

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 coverage is 100% and parameter descriptions in the schema are clear. Description does not add additional parameter-level semantics, but baseline of 3 is appropriate given high schema coverage.

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?

Description clearly states it's a multi-mountain destination hub with a table of member ski areas, gives specific examples (Niseko, Chamonix, Aspen Snowmass), and explicitly distinguishes from sibling tools like get_resort_photos and get_resort_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use ('only when the user names the hub itself') and when not to, with specific alternative tool directions in parentheses.

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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