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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds value beyond that by disclosing the return content ('the reasons for each pick plus lodging, flight and rental links'), which tells the agent this is an explainable recommendation rather than a bare list.

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?

Two sentences, front-loaded with the ranking behavior and closing with the usage trigger. The first sentence is dense but every clause maps to a real parameter dimension; nothing is wasted, though it is near the upper size limit for a single sentence.

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 11 optional parameters and no output schema, the agent needs to know both the scope and the response shape; the description covers both ('ranks ... for one traveler or group' and 'Returns the reasons for each pick plus lodging, flight and rental links'). Minor gap: no mention of pagination/limit behavior or how defaults interact, though those are documented in the schema.

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?

Schema description coverage is 100%, so all 11 parameters are already documented (including enum meanings and defaults). The description only restates the ability/dates/origin/pass axes at a high level, adding no syntax or weighting detail beyond the schema's own notes. Baseline 3 applies.

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?

States a specific verb ('ranks') plus resource ('ski resorts') and enumerates the ranking dimensions (ability, snow/crowds, travel origin, pass). An agent can distinguish it from search_ski_resorts (search/filter) and ski_conditions (conditions lookup) without opening any schema.

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?

Gives clear trigger language: "Use for 'where should I ski' questions." It establishes the recommendation context well, but never names an alternative or a when-not condition (e.g. use search_ski_resorts/ski_conditions when you already know the resort).

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