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Glama

SnowSure — Snow & Ski

Resort guide card

get_resort_info
Read-onlyIdempotent

INTERACTIVE RESORT GUIDE CARD (Resort Info sidebar UI) — elevation, vertical, lifts, runs, skiable acres, average snowfall, season dates, ski passes, editorial description, hero/gallery carousel. REQUIRED when the user asks for: resort guide, mountain profile, resort info, lifts/runs/vertical/skiable area, season dates, ski passes, or "tell me about the mountain" (non-weather). Answers single-resort stat questions: base/summit elevation, vertical drop, skiable area, average annual snowfall. Examples: "Aspen Mountain resort guide", "how many lifts at Jackson Hole", "what is the base elevation at Arapahoe Basin". For X-vs-Y stat questions use compare_resorts. Do NOT use get_resort (that shows the snow conditions card).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesResort slug identifier (e.g., "aspen-mountain", "niseko-hanazono-resort", "jackson-hole")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resortNoStructured resort payload for inline widget rendering.
markdownYesHuman-readable markdown summary (required for ChatGPT Instant mode).

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds contextual behavioral traits: it returns a UI card, focuses on single-resort stats, and is explicitly non-weather. No contradictions exist between the description and 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?

The description is front-loaded with the main purpose and uses structured lists and examples. Every sentence earns its place; despite length, there is no redundancy, and the formatting (caps, examples, exclusions) improves scannability.

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?

Considering the tool's moderate complexity and the presence of an output schema, the description covers all necessary aspects: what it does, when to use it, when not to use it, and how it relates to siblings. The output schema handles return-value details.

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% with a clear description and examples for the single 'slug' parameter. The description does not add further parameter-level detail, but the schema already sufficiently documents it, so baseline 3 is appropriate.

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 opens with a specific verb-resource pair ('INTERACTIVE RESORT GUIDE CARD') and immediately enumerates the content areas (elevation, lifts, runs, etc.). It also explicitly differentiates itself from sibling tools by stating 'Do NOT use get_resort' and 'use compare_resorts' for comparisons.

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?

Provides explicit 'REQUIRED when' trigger phrases, concrete example queries, and clear alternatives/exclusions. This gives the agent unambiguous directives for when to select this tool and when to select a sibling.

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