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

With no annotations provided, the description carries the full burden of behavioral disclosure. It transparently reveals the pay-per-call cost, the payment rail (USDC on Base via x402), and the specific error behavior when the payment-signature header is missing, including that the error data contains payment terms. This is meaningful, non-obvious behavioral context beyond a simple generate-and-return statement.

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 two sentences with no filler. The first sentence states the core function and return contents; the second adds essential payment and error behavior. It is front-loaded and every sentence earns its place.

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 is sufficiently complete for a low-complexity tool with two optional parameters and no output schema. It covers what the tool produces, the cost, and the failure mode when payment is not provided. A minor gap is that it does not explicitly say the query should contain the product/input to be positioned, though the schema example covers this.

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 schema description coverage is 100%, so the schema already documents both parameters, including an example for query and the optional nature of context. The tool description adds no additional meaning about how to fill query or context, so the baseline of 3 applies because the schema does the heavy lifting.

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 verb and resource: generating a positioning statement for a product, and explicitly lists what it returns: tagline, value proposition, and differentiation. This clearly distinguishes it from the many sibling generate-* tools such as generate-cold-email or generate-marketing-strategy.

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 says what the tool does but does not give any guidance about when to choose this tool over related alternatives, nor any exclusions or prerequisites beyond payment. There is no mention of situations where a different tool would be more appropriate, leaving the agent to infer usage solely from the name and output.

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