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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so safety is covered. The description goes beyond them by detailing the payload: a 0-100 score with named inputs (fresh snow, base depth, weather, crowds), a 7-day forecast window, crowd outlook, terrain mix, passes and gateway airport. It does not mention freshness/update cadence or how the score is sourced, which keeps it from a 5.

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?

One dense sentence that front-loads the headline output (today's score) before the supporting data. Every clause corresponds to a distinct returned data group; nothing is padding.

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?

With no output schema, the description carries the return-value burden and does so comprehensively — score, forecast horizon, crowd, terrain, passes, airport. Combined with annotations covering the safety profile and a fully documented single parameter, an agent has everything needed to invoke and interpret this tool.

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?

There is a single required parameter and schema coverage is 100%, so the schema already documents 'resort' with an example. The description only reinforces the cardinality ('for one ski resort') and adds no format, aliasing, or disambiguation guidance beyond the schema.

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 names the resource (one ski resort) and enumerates exactly what the tool produces: today's 0-100 score with its components, 7-day summit snowfall/temperature, crowds, terrain, passes and gateway airport. It is clearly a conditions-report tool rather than a search tool, though it never explicitly contrasts itself with siblings like find_ski_resorts or search_ski_resorts.

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?

Usage is implied — you call it for a specific resort when you want current and near-term snow conditions — but there is no explicit when-to-use statement, no prerequisites, and no pointer to find_ski_resorts/search_ski_resorts for resort discovery. The agent must infer the routing itself.

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