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

With no annotations, the description carries the full burden, and it does disclose one genuinely useful behavioral trait: the output is "a copy-paste prompt pack with examples" rather than finished copy, which tells the agent what to expect back. It says nothing about side effects, permissions, or whether the single optional query actually changes the produced pack, so the disclosure is partial.

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 sentences with no structural excess, but much of the phrasing is promotional filler ("production-ready", "Get a structured, repeatable workflow you can run today") that displaces concrete information about behavior. The one substantive clause, the prompt-pack disclosure, is buried at the end.

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?

For a tool with no annotations and no output schema, the description should be doing the work of explaining inputs and results. It leaves the core question — does invoking this produce resale copy or a reusable prompt pack, and what does the optional query affect — only half-answered, and gives no basis for choosing it over idle-resale-copywriter.

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?

There is one optional parameter with 100% schema description coverage, so the schema already explains it as "optional user query to scope the analysis." The description adds no meaning beyond that — no examples of a valid query or how scoping alters the returned pack — so 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?

It names the resource ("resale copywriter system") and the audience (marketing and operations leaders), which is more than a restatement of the name. But the actual action is fuzzy: it's ambiguous whether the tool writes resale copy or just returns a prompt template, and it never distinguishes itself from the very similarly named sibling idle-resale-copywriter or from probe-store-copywriter. An agent could not confidently pick this over those without opening the schema.

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?

There is no when-to-use guidance, no when-not-to-use, and no named alternative. Phrases like "you can run today" are marketing rather than routing information, so the agent gets no signal about which task or channel this tool is appropriate for versus the many other copywriting siblings.

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