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

Annotations indicate this is a mutating operation but provide no detail. The description adds meaningful behavioral context: it requires explicit human confirmation and warns that checkout creation is not payment proof. This goes beyond what the schema or annotations already convey.

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 short sentences, with the most important precondition front-loaded and the payment-proof caveat placed second. There is no filler or redundant restating of the tool name.

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?

The description covers the key precondition and a critical caveat, making the tool minimally viable. However, with four parameters and no output schema, it leaves return behavior and parameter selection mostly to inference.

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%, and the description only implicitly maps to user_confirmed_payment through 'explicitly agrees to pay 99 cents'. submitted_text, request_id, and roast_style receive no guidance, so the description does not compensate for the schema's lack of parameter documentation.

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 identifies a specific action ('prepare the secure checkout') and a distinct resource, and includes a precondition ('After the human explicitly agrees to pay 99 cents'). This clearly separates it from the read-oriented sibling tools get_roast_offer and get_roast_result.

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 description gives an explicit condition for use: only after the human explicitly agrees to pay. This tells the agent when to call the tool. It does not explicitly name alternatives or exclusions, but the precondition is strong enough context to avoid premature invocation.

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