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

The annotations declare readOnlyHint=true and destructiveHint=false; the description earns credit by explaining WHY — nothing is opened or created, only step-by-step instructions are returned. That resolves the apparent mismatch between the 'create' name and the read-only annotation. It stops short of explaining account/auth requirements or what the step list contains when the browser is unavailable.

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 behavior is front-loaded in the first sentence, which is good. But the closing aside about Printful's REST API, developer docs, tokens, OAuth, and a 'checked 17 Oct 2026' date is marketing/disclaimer filler that does not help an agent invoke the tool, and the 'ChatGPT, Claude or any AI agent' phrase is padding.

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 zero-parameter, no-output-schema tool with annotations already covering the safety profile, the description supplies the critical missing piece: the tool plans rather than performs, and execution happens through cotlet_browser_* tools. It could be more complete by stating prerequisites (connected account, open browser session) and what happens on failure.

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 are zero parameters and 100% schema coverage, so the baseline of 4 would normally apply. However, the description does not explain how the target order (product, variant, address, quantity) is specified at all given the empty schema — presumably inferred from conversation — which leaves an agent guessing about inputs.

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 description names a specific resource (draft order in the user's Printful account) and then clarifies the real behavior: it 'Returns how to do it in Printful step by step (screens, buttons, fields) and opens nothing by itself.' That clarification is essential, because the name implies a write while the tool only returns instructions. It does not explicitly contrast with non-create siblings like printful_list_orders, but the create intent is unambiguous.

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 gives a clear follow-on path — 'then do it with the cotlet_browser_* tools in the user's Printful Cloud Browser' — which is genuine usage guidance. What is missing is when NOT to use it or what prerequisites exist (a connected Printful session, an open browser tab), and there is no explicit routing against related siblings.

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