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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is fully covered. The description adds the return payload contents, but says nothing about lookup failure (unknown SKU) or what happens when a product has no recommending topics, which would be the genuinely useful behavioral context here.

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 compact sentences, front-loaded with the invocation cue before the return contents. The field list in sentence two is dense but each item earns its place; no filler.

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?

There is no output schema, so the description correctly carries the return-value burden and enumerates the fields an agent will get back. It is nearly complete for a simple one-param read tool, lacking only edge-case behavior for unknown SKUs or missing recommendations.

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% and the single parameter already documents 'Product name or SKU, e.g. Chelated Magnesium'. The description's 'by name or SKU' restates that, adding no new semantics such as accepted SKU formats or fallback behavior on ambiguity.

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?

Names a specific verb and resource ('Call this for one specific product') and enumerates the returned fields (form, claim, tier, price, purchase link, recommending topics), which is far more specific than the title. It implicitly separates itself from recommend_supplements by scoping to a single product, but never names a sibling 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?

'Call this for one specific product' gives a clear triggering condition for a lookup-style call, but there is no when-not guidance, no statement of what to use for multi-product discovery, and no prerequisites (e.g. does the SKU have to exist in the HerStack catalogue).

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