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Resort weather forecast

get_weather_forecast
Read-onlyIdempotent

Get day-by-day weather forecast for a ski resort, covering temperature, snowfall, wind, and conditions for up to 14 days.

Instructions

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).
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds time horizon and return fields but no further behavioral traits (rate limits, data source). 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.

Conciseness5/5

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

Single sentence, 20 words, front-loaded with main action. Every word contributes to understanding. No redundancy.

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 low complexity (2 params, output schema present, annotations rich), description sufficiently covers what the tool returns and time range. Complete for a forecast tool.

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 100% fully documents parameters. Description repeats some fields but adds no extra meaning beyond schema. Baseline score of 3 applies due to high schema coverage.

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 verb 'get', resource 'weather forecast for a resort', and details (day-by-day, temperature, snowfall, wind, conditions, next 14 days). Title 'Resort weather forecast' reinforces purpose. Distinct from sibling tools like get_snow_report.

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

Usage Guidelines3/5

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

Implies usage for detailed resort weather forecasts but lacks explicit guidance on when to use this over siblings (e.g., get_snow_report, get_road_weather). No exclusions or alternatives stated.

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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