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

Annotations already declare readOnly, non-destructive, closed-world behavior, and the description adds real context beyond them: the match: null outcome for unreviewed products and the rule that a null must not be presented as a BeautySpark verdict. That is the kind of beyond-annotation behavior that matters for safe downstream use.

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?

Three short sentences, front-loaded with the core lookup and then the outcome rules; no filler. The null-handling sentence is slightly dense but earns its place.

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 an output schema present and full schema coverage, the description doesn't need to explain return shapes, and it correctly focuses on the null-match edge case and the season shortcut. The only gap is the absence of any routing guidance relative to the product-pick and color-season siblings.

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 coverage is 100%, so the baseline is 3, but the description adds meaning the schema doesn't: shade is optional, and passing season additionally returns that season's palette for comparison. The remaining parameters (locale, product) are left to the schema, which documents them well.

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?

Specific verb and resource: looks a product (plus optional shade) up in BeautySpark's season picks and returns recommended seasons. It does not explicitly name the nearby sibling get_product_picks or get_color_season, so differentiation is left partly implicit.

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?

It gives a conditional usage rule for the null case ('do not present any verdict as BeautySpark's') and tells the agent when to pass season, which is genuinely useful. It never states when to choose this tool over get_product_picks or get_color_season, so guidance is implied rather than comparative.

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