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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context: it returns Stripe-verified prices, billing terms, delivery, and live availability, which tells the agent what kind of data to expect. It does not describe pagination, response size, or whether the list is cached, but the annotations lower the bar and the added context is meaningful.

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 description is a single, information-dense sentence that front-loads the core purpose ('Everything an agent can buy from Sunset') and then lists the key data attributes. Every phrase earns its place, and there is no redundancy with the title or schema.

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 parameterless, read-only, idempotent list tool with no output schema, the description covers the essential context: what is listed, the source, and the included attributes. It could mention whether the list is exhaustive or paginated, but given the tool's simplicity and the annotations, the description is largely complete.

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?

The tool has zero parameters, so there are no parameter semantics to document. The description compensates by explaining what the returned list contains (prices, billing terms, delivery, availability), which is the relevant semantic information for a parameterless tool. Baseline 4 is appropriate for zero-parameter tools.

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 states a specific verb ('list') and resource ('products'), and adds scope ('from Sunset') plus the key attributes included (Stripe-verified prices, billing terms, delivery, live availability). It is clear what the tool does, though it does not explicitly differentiate from siblings like read_page or site_info; the title reinforces the same message.

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 implies this is the go-to tool for discovering purchasable products and their pricing, which is a clear context. However, it does not explicitly state when to use it versus alternatives such as read_page or site_info, nor does it mention any exclusions or conditions. The usage context is implied rather than explicit.

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