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

Goes well beyond the annotations by disclosing that the server has no checkout or payment tool, never returns a payment link, that anahana.com is the only place to buy, and that the catalog is regenerated on every site deploy. These are real behavioral and freshness facts the agent cannot infer from readOnlyHint/openWorldHint.

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?

Front-loaded with purpose, then the return fields, then the read-only/behavioral notes, then the sibling routing. The field enumeration is slightly dense but earns its place because there is no output schema. No filler sentences.

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 compensates by naming every returned field (sku, name, type, language, list price, currency, url, checkout_note) plus the type enum values. Combined with the payment/checkout caveat and sibling pointer, an agent has everything needed to call and interpret it.

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 'language' parameter is fully documented in the schema (including the 'all' and comma-list forms), so the description correctly does not duplicate it. Baseline 3 applies since the schema carries the parameter burden.

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 ('List') and resource ('the Nema by Anahana digital products on sale right now') and enumerates what each item contains. It clearly distinguishes itself from the sibling get_product, which retrieves a single product.

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?

The closing sentence 'Use get_product for one product' gives an explicit alternative and the condition that selects it, so bulk-listing vs single-fetch is unambiguous. It stops short of stating exclusions against the other siblings (get_article, search_content), so it is clear but not exhaustive.

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