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Subscribe to snow alerts

subscribe_alerts

Subscribe to alerts for powder days, forecast snow windows, resort openings, or bluebird conditions. Configure type, resort, threshold, and delivery channel.

Instructions

Subscribe the signed-in user to snow alerts. Requires a SnowSure user access token (OAuth). type: 'powder' (OBSERVED fresh snow >= thresholdCm in 24h), 'forecast' (the 14-day FORECAST clears thresholdCm within windowDays — the proactive 'tell me when a powder trip is forming' watcher), 'opening' (resort opens for the season), or 'bluebird' (powder day then clear skies).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesAlert type
scopeNoResort slug, or 'any' for all resorts (default 'any')
channelNoDelivery channel (default email)
windowDaysNoforecast alerts only: scan the next N days of forecast (1–14, default 14)
thresholdCmNoSnow threshold in cm — fresh-snow for powder (default 15), 14-day forecast total for forecast (default 30)

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 provide readOnlyHint and destructiveHint; description adds OAuth requirement but does not disclose side effects like overriding existing subscriptions, limits, or confirmation behavior. Reasonable but could be more transparent.

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 succinct, front-loaded with purpose, and every sentence adds value. No fluff or repetition.

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?

Given the tool has 5 parameters and an output schema, the description covers core purpose, auth, and alert types. It could mention duplicate behavior or limits, but overall complete enough for an agent.

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% and description adds meaning by explaining enum values for 'type' parameter (e.g., powder, forecast). This goes beyond the schema descriptions, though other parameters are not elaborated further.

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 subscribes the signed-in user to snow alerts and lists the specific alert types with explanations. It distinguishes from sibling tools like unsubscribe_alerts and list_alerts by its action.

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

Usage Guidelines3/5

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

Description mentions OAuth token requirement but does not specify when to use this tool versus alternatives (e.g., when to use subscribe vs list vs unsubscribe). No explicit when-not or context for choosing among siblings.

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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