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

With no annotations, the description carries the full behavioral burden. It usefully discloses the data sources (registry RDAP + DNS), per-call price, and x402/Base payment rail, but omits wallet/auth prerequisites, rate limits, failure behavior, and return-shape details.

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 dense sentence with the core use case and checked resources front-loaded, followed by the payment detail. Every clause contributes information without repetition.

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 one-parameter, paid lookup tool with no output schema, the description covers the derived outputs, availability statuses, data sources, and cost. Payment-flow mechanics and exact response format are left implicit, but the definition is sufficient to select and invoke the tool.

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 100%, so the schema already explains the single company_name parameter and gives an example. The description reinforces that a company or product name can be supplied and that a slug is derived, but adds no new syntax or constraints.

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 clearly states that it produces a slug and checks availability across six TLDs plus GitHub and npm. It does not explicitly distinguish itself from the domainaudit_* siblings, so it falls short of a 5 despite being specific about the resources checked.

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 phrase 'For a company or product name' implies the intended startup/brand-name use case, but there is no explicit when-to-use guidance or routing to alternatives such as domainaudit_domain_info or domainaudit_audit. The agent must infer when this bundled check is preferable.

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