SnowSure — Snow & Ski

Resort snow history

get_snow_history

Read-onlyIdempotent

One resort's own snowfall history: season totals, comparison to its 5-year and 30-year averages, and best months to visit. Scoped to a SINGLE resort — for "which resort in <state/country/region> led last season", use get_season_leaderboard instead.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`slug`	Yes	Resort slug

Output Schema

TableJSON Schema

Name	Required	Description	Default
`markdown`	No	Human-readable markdown summary of the tool result (may be omitted when structuredContent carries a typed payload; content[0].text always has the prose).

TDQS

A4.7/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint – so the description's job is lighter. It adds value by explaining the scope constraint (single resort) and the specific data returned (season totals, averages, best months), which goes 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?

Two sentences, zero waste. The first sentence delivers purpose and outputs; the second sentence provides usage guidance and sibling differentiation. Highly efficient.

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 low complexity (1 required param, no nested objects, no enums), the presence of an output schema, and comprehensive annotations, the description is complete. It covers what the tool does, its outputs, its scope, and when to use alternatives.

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% for the single parameter 'slug', but the description does not add any meaning beyond the schema's description 'Resort slug'. However, since the schema already fully describes the parameter, a baseline of 3 is appropriate; the description earns a 4 because it provides context (that the slug identifies a single specific resort) and distinguishes the tool's scope.

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 specific verb ('get' implied) and resource ('snow history'), listing concrete outputs: season totals, averages, and best months. It explicitly distinguishes from the sibling tool 'get_season_leaderboard', which is a different scope.

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?

Explicitly states when to use this tool (single resort history) and when not to ('for which resort in <state/country/region> led <metric> last season'), naming the alternative tool 'get_season_leaderboard'. This provides clear guidance for the agent.

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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TDQS

A3.6/5.0

Disambiguation2/5

Multiple tool clusters have unclear boundaries: get_resort overlaps with get_resort_info and get_resort_photos, ask_snowdata competes with compare_resorts and the El Niño tools, and get_snow_history / get_season_leaderboard / get_insights cover similar retrospective ground. The descriptions try hard to route agents, but with 45 tools an agent will frequently have to choose between near-equivalent options.

Naming Consistency4/5

Most tools follow a clear verb_noun snake_case pattern: get_resort_info, compare_resorts, find_best_powder, book_lodging, save_resort. Minor deviations like ask_snowdata and the very similar get_resort vs get_resort_info names prevent a 5, but overall the naming convention is predictable.

Tool Count2/5

45 tools is well above the 25+ threshold and puts a heavy selection burden on the agent. While the domain is broad, many tools are narrow variations on conditions, history, road data, or trip planning that could be consolidated or exposed as configurable parameters.

Completeness4/5

The toolkit covers an impressively wide lifecycle: resort discovery, photos, live conditions, forecasts, history, comparisons, passes, flights, lodging, road status, alerts, and user saved resorts. Minor gaps exist such as no lift-ticket booking, no lesson/rental booking, and flight search only produces links rather than a booking flow, but agents can generally complete core snow-trip workflows.

Resources

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