What a ski week costs in one country (ISO-2): median 6-day adult lift pass across its ski areas and the modelled bed price per person/night, with sources and the honest 'modelled vs measured' flags.
| Name | Required | Description | Default |
|---|---|---|---|
| country | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the tool as read-only and non-destructive, and the description adds meaningful behavioral context: it highlights that bed prices are modelled, that modelled-vs-measured flags are included, and that sources are provided. This gives the agent useful caveats beyond the schema 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single dense sentence that efficiently conveys the input scope, key output metrics, and data-quality flags. Every phrase adds information, and there is no redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter read-only tool with no output schema, the description covers the main return values: lift pass cost, bed price per person/night, sources, and modelled-vs-measured flags. It is largely complete, though it does not specify currency or the exact meaning of the flags in more detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description compensates by specifying that 'country' should be an ISO-2 code. This adds real meaning beyond the bare 'Country' string field, though it stops short of giving examples or format clarifications such as uppercase/lowercase.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool reports ski-week costs for a single country, including median 6-day adult lift pass and modelled bed price. This is specific enough to distinguish it from condition, booking, and route-focused siblings, though it does not name an alternative explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives such as plan_trip, booking_options, or where_to_ski. The intended use can be inferred from the cost-focused wording, but explicit when-to-use or when-not-to-use guidance is absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct domain aspect: planning, booking, snow conditions, resort info, and costs. Even closely related tools like booking_options vs open_booking vs choose_path are clearly separated by their roles in the trip lifecycle. No two tools appear to do the same thing.
Names mostly use a noun or verb_noun style in lowercase, but there is a mix of forms (e.g., 'find_resorts' vs 'conditions' vs 'where_to_ski'). The pattern is still predictable and readable, with only minor stylistic deviations.
16 tools is slightly above the ideal sweet spot, but the domain is broad (ski trip planning, conditions, booking, media, costs) and each tool clearly earns its place. It feels well-scoped without being bloated.
Covers the full trip lifecycle: research (plan_trip, trip_status, tell_skym), selection (choose_path), booking (booking_options, open_booking), live conditions (conditions, daily_snow, snow_forecast, webcams, where_to_ski), resort details (find_resorts, resort_media, getting_there), and costs (trip_costs). No obvious dead ends or missing operations.