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Glama

SnowSure — Snow & Ski

by ai.snowsure

Resort weather forecast

get_weather_forecast
Read-onlyIdempotent

Get detailed day-by-day weather forecast for a resort including temperature, snowfall, wind, and conditions for each of the next 14 days.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of days to forecast (default: 7, max: 14)
slugYesResort slug

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).

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint and idempotentHint. Description adds that it returns a forecast for up to 14 days with specific weather data, which is consistent and informative 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?

Single sentence, front-loaded with action, no extraneous words. Efficiently communicates purpose and scope.

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?

For a simple forecast tool with full schema coverage and existing output schema and annotations, the description is complete enough for an agent to understand what it does without additional clarification.

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 schema fully describes parameters (slug, days). The description does not add meaning beyond what the schema provides; it mentions output content but not parameter details.

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?

Description clearly states the tool retrieves a day-by-day weather forecast for a resort, including specific weather elements (temperature, snowfall, wind, conditions). It distinguishes from siblings by specifying 'forecast' for the next 14 days, unlike historical or report tools.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool vs alternatives. The description does not mention when not to use or provide references to sibling tools like 'get_snow_report' or 'get_monthly_snow'.

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

All SnowSure — Snow & Ski toolsInspect
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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