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

Annotations cover the safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=true) but say nothing about where data goes. The description adds that supplied facts are sent to OpenRouter free model providers and that explicit consent governs this — a material data-egress fact. It also discloses that no browsing or publishing occurs, that no charge occurs until Stripe Checkout approval, and that output should be reviewed before 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?

The core purpose is front-loaded and stated in one clean opening sentence. But the remainder packs pricing, tax, Stripe mechanics, and a legal disclaimer into run-on sentences with awkward mid-sentence line breaks, inflating the definition well beyond what an agent needs to select and call it.

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?

An output schema exists, so return-format explanation is unnecessary, and the description covers cost, consent, and data egress well. What remains thin is input guidance: 7 required parameters with zero schema descriptions and no per-field explanation, leaving an agent to guess at agent_reference, idempotency_key, and audience semantics.

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 0% across 8 parameters, so the description must carry the burden and it largely does not. 'Facts' and the consent flag (allow_ai) are referenced obliquely, but agent_name, agent_reference, idempotency_key, audience, tone, and product_name get no explanation of format, purpose, or expected content. The work_id/work_token mentioned belong to place_order, not this tool, adding potential confusion.

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?

The first sentence names the concrete deliverable: a free AI-generated product-listing draft built from supplied facts. It also distinguishes itself from the paid path by naming place_order and the full prepared pack, so an agent can place it in the catalog without opening the schema. The verb is implicit rather than stated ('Free sample of...'), which keeps it just short of 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?

It clearly frames this as the free/no-cost preview and routes the full-pack case to place_order with work_id/work_token, which is an explicit alternative with a stated condition. 'Omit private data' and the consent condition give preconditions for use. It never states when this tool should NOT be called (e.g. if no free sample is wanted), which is why it is not a 5.

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