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

With no annotations, the description carries the full burden and delivers real value: it discloses that the tool is paid ($0.02 USDC per call via x402 on Base), what data sources are consulted (RDAP + DNS, GitHub, npm), and that each result is tri-state (available/taken/unknown). It omits failure modes, latency, and whether partial source failures still bill.

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 sentences, front-loaded with the input trigger and the checked resources, and the pricing constraint placed last. The enumerated domain TLD list is dense but each element is meaningful; nothing is filler.

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?

There is no output schema and no annotations, so the description must convey what comes back — and it does, naming the slug, the checked identifiers, and the available/taken/unknown result states, plus the payment requirement. Only edge-case behavior (partial failures, billing on error) is left uncovered.

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 coverage is 100% and the single parameter is already documented with an example, so the schema does the heavy lifting. The description adds only indirectly by implying the name is normalized into a slug, without saying whether to include legal suffixes or how spaces/punctuation are handled.

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?

States a concrete verb-like outcome (slug + availability checks) and the exact resources checked: six domains, a GitHub user/org name, and an npm package name, with the data sources listed. It also names the trigger input ('a company or product name'), which separates it from domain-audit siblings that start from an existing domain, though it never names those siblings explicitly.

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 use case (naming a new company/product and checking what's free), but there is no explicit when-to-use or when-not guidance and no routing to or away from siblings such as domainaudit_audit or domainaudit_whois_bulk. Usage is inferable rather than specified.

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