Skip to main content
Glama

Resort guide card

get_resort_info
Read-onlyIdempotent

Retrieve a comprehensive resort guide card including elevation, vertical drop, lifts, runs, skiable acres, average snowfall, season dates, and ski passes for any resort.

Instructions

INTERACTIVE RESORT GUIDE CARD (Resort Info sidebar UI) — elevation, vertical, lifts, runs, skiable acres, average snowfall, season dates, ski passes, editorial description, hero/gallery carousel. REQUIRED when the user asks for: resort guide, mountain profile, resort info, lifts/runs/vertical/skiable area, season dates, ski passes, or "tell me about the mountain" (non-weather). Examples: "Aspen Mountain resort guide", "how many lifts at Jackson Hole". Do NOT use get_resort (that shows the snow conditions card).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesResort slug identifier (e.g., "aspen-mountain", "niseko-hanazono-resort", "jackson-hole")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resortNoStructured resort payload for inline widget rendering.
markdownYesHuman-readable markdown summary (required for ChatGPT Instant mode).
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. Description adds context that the tool returns a card with a list of specific data fields, providing value 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?

Description is concise (about 100 words) and front-loaded with the most important information. Every sentence adds value with no redundancy.

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 a single parameter and an output schema present, the description fully covers purpose, usage guidance, and contents of the card. No gaps remain.

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 already describes the slug parameter with examples. Description does not add new semantic information beyond what's in the schema, so baseline 3.

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?

Clearly states that the tool returns an interactive resort guide card with specific details (elevation, vertical, lifts, etc.). Explicitly distinguishes from sibling get_resort which shows snow conditions.

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 when-to-use contexts (e.g., resort guide, mountain profile, lifts/runs) and when-not-to-use with a clear alternative (get_resort for snow conditions). Includes examples.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mikeslone/snowsure-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server