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

Adds meaningful behavioral context beyond the annotations: results are grouped per originating keyword, each suggestion has availability that can be available/taken/unknown, and unknown or premium-TLD names should be verified before recommendation. No contradiction with the readOnly/idempotent hints.

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?

Three dense sentences covering action, constraints, workflow, and follow-up with no filler. The tool name prefix is slightly redundant, but the substantive content 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?

There is no output schema, so the description compensates by stating output grouping, the three possible availability values, and the safe confirmation path via checkDomainAvailability. This gives an agent enough to call the tool correctly and interpret results.

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%, so the baseline is 3; the description enriches keywords and tlds by restating hard caps and linking TLD selection to listCategorizedTlds. It also clarifies output grouping semantics, though lang and maxResults rely on schema defaults.

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 specific action—generate domain suggestions—with precise constraints (1-10 keywords, 1-6 TLDs, hard cap) and output grouping. This clearly differentiates it from sibling tools like generateDomainSuggestions by emphasizing bulk/multi-keyword scope.

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?

Explicitly prescribes a typical flow: call listCategorizedTlds first to choose TLDs, then use this tool, and follow up with checkDomainAvailability for uncertain results. It does not explicitly contrast with generateDomainSuggestions, so it is clear on workflow but not a full when-not-to-use guide.

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