Skip to main content
Glama

Global snow report

get_snow_report
Read-onlyIdempotent

Retrieve global snow report with top-ranked resorts by snow conditions. Sort by AI score, forecast, recent snowfall, or depth. Filter by region.

Instructions

Get the global snow report with top-ranked resorts by snow conditions. Returns resorts sorted by SnowSure score, forecast, or recent snowfall. Use this for "where has the best snow?" or "top ski resorts right now" queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort order: snowsure (AI rating), forecast (14-day snow), recent (24h snowfall), depth (current base)
limitNoNumber of resorts to return (default: 10, max: 50)
regionNoFilter by region

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
resortsYes
markdownYesHuman-readable markdown summary (required for ChatGPT Instant mode).
subtitleNo
updatedAtYes
Behavior4/5

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

Annotations already confirm read-only, idempotent, non-destructive behavior. The description adds that results are sorted by SnowSure score, forecast, or recent snowfall, enhancing understanding 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 sentences: one for purpose, one for usage. No redundant information, front-loaded with key action and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 3 parameters fully described in schema and an output schema present, the description covers core functionality well. Could briefly mention default limit (10) but not necessary given schema coverage.

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%, so baseline is 3. The description adds value by explaining sort options in user-friendly terms (e.g., 'snowsure (AI rating)') that complement the schema's enum 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 returns a global snow report with top-ranked resorts sorted by snow conditions. It explicitly distinguishes its use case ('where has the best snow?', 'top ski resorts right now') from sibling tools like find_best_powder or compare_resorts.

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 provides specific query examples for when to use the tool. While it does not explicitly exclude alternatives, the examples serve as clear context for appropriate usage.

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