SnowSure — Snow & Ski

Road cameras

get_road_cameras

Read-onlyIdempotent

Live roadside DOT/CCTV camera stills on the highways near a resort — shows what the drive actually looks like right now (California via Caltrans, Washington via WSDOT, Utah via UDOT, British Columbia via DriveBC, Maryland via CHART/iMAP, New England via Compass C2C, Virginia via VDOT 511). Distinct from resort webcams. Returns 'no road cameras' outside the covered area; each camera includes a live image URL.

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

A4.2/5.0

Behavior4/5

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

Annotations already mark the tool as read-only and non-destructive, so the description adds value by disclosing real behavioral details: 'Returns "no road cameras" outside the covered area' and 'each camera includes a live image URL.' It also lists specific jurisdictions, giving agents a sense of geographic coverage. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the core purpose and then adds jurisdiction details plus edge-case behavior. The parenthetical list of states is long but informative for an agent deciding whether this tool applies. Slightly overstuffed, but each element earns its place.

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 single-parameter read-only tool with an output schema, the description is complete: it states what the tool returns, which areas it covers, how it differs from related webcams, and the 'no road cameras' fallback. Nothing essential for invoking it correctly is missing.

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?

The schema describes the sole parameter 'slug' as 'Resort slug' with 100% coverage. The description does not add parameter-level detail, but with full schema coverage, the baseline of 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 and resource: 'Live roadside DOT/CCTV camera stills on the highways near a resort.' It clearly states what the tool does and explicitly distinguishes itself from resort webcams, which helps separate it from close sibling categories.

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

Usage Guidelines4/5

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

The description provides clear usage context ('shows what the drive actually looks like right now') and an implicit exclusion ('Distinct from resort webcams'), but it does not name specific sibling tools like get_webcam_status or get_road_access. This is clear context with a partial when-not rather than a full alternatives list.

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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