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Southern Hemisphere report

get_southern_hemisphere_report
Read-onlyIdempotent

Retrieve current snow conditions for Southern Hemisphere ski resorts in Australia, New Zealand, Argentina, and Chile. Sort by snow quality, recent snowfall, or base depth to find the best powder.

Instructions

Get snow conditions for Southern Hemisphere ski resorts (Australia, New Zealand, Argentina, Chile) currently in season. Answers "is Perisher / Portillo / Valle Nevado open right now and what are the current conditions" and "which Southern Hemisphere region — the Andes, Australia, or NZ — has the best snow right now". Use for June–October SH ski queries. Prefers operator-verified data when available. Do NOT use for a specific opening DATE — use get_season_openings instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort: snowsure (AI score), recent (24h snow), depth (base depth)
limitNoMax resorts (default: 10)
countryNoOptional country filter

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 and idempotentHint=true. The description adds 'Prefers operator-verified data when available,' providing a behavioral nuance beyond the annotations. No contradictions.

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?

The description is four sentences, front-loaded with core purpose, and every sentence adds value. No redundancy or fluff.

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 optional params and existence of an output schema, the description covers purpose, usage, behavioral nuance, and exclusions. It is self-contained and sufficient for agent decision-making.

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%, so the description need not add much. It provides context on how parameters relate to use cases (e.g., sorting by snowsure for best region), but doesn't significantly extend schema meaning.

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 gets snow conditions for Southern Hemisphere ski resorts currently in season, and explicitly distinguishes it from get_season_openings for opening dates. It answers specific questions like 'is Perisher open?' and 'which region has best snow?'

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?

The description explicitly says to use for June–October SH ski queries and not for specific opening dates, directing to get_season_openings. It also outlines example questions, providing clear when-to-use and when-not-to-use guidance.

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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