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

Goes well beyond the annotations: it discloses that a first write costs 1 credit while repeat calls on an unchanged product are free (consistent with readOnlyHint=false and idempotentHint=true, not contradicting them), and that copy is cached per product until it changes. It also states a hard content constraint (only real product facts; no invented specs, claims or reviews), which is behavioral context an agent cannot get from the schema.

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 the purpose, then the deliverables, then the caching/credit model — a logical order with no filler sentences. The long comma-separated deliverable list is dense but each item carries real selection value.

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 must describe the return, and it does so exhaustively by naming every artifact produced per channel including JSON-LD types. Combined with the cost/caching behavior and the source-of-truth constraint, an agent has everything needed to call this correctly.

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% and the single product_id is already documented as coming from list_products. The description reinforces the one-product scope ('for one catalog product'), but adds no new syntax or format detail beyond the schema, so the 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 concrete verb+resource ('marketplace-ready copy for one catalog product') and enumerates the exact deliverables across Amazon, Shopify, Etsy and GEO outputs, so an agent knows precisely what it gets. It does not differentiate itself from the sibling get_copy, which is the only thing keeping it from a 5.

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: call this when you need channel-specific listing/SEO copy for a product already in the catalog, and the 'same claims as its clips' line hints at a consistent-content workflow. But there is no explicit when-not guidance and no named alternative (e.g. get_copy) to route between, leaving the choice to inference.

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