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

Annotations already declare readOnlyHint=true and openWorldHint=false, and the description usefully reinforces the closed portfolio scope ('the 4ai.ai portfolio'). 'Every result has an offer link' adds a concrete fact about result content, but ordering, pricing presence, and empty-result behavior remain undisclosed.

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 short clauses with zero waste: purpose and scope first, then the filter axes, then a note on result content. Every sentence earns its place and nothing is buried.

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?

With no output schema, the description carries the burden of describing returns, and it only notes that results carry an offer link. For a domain-sale search, price/availability and result ordering are material omissions, though the parameter surface is fully covered by the schema.

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 schema already documents all five parameters, making 3 the baseline. The description restates the filters and adds a small clarification ('a word in the name') plus the list_categories pointer for the category key, but omits the limit parameter entirely.

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 verb and resource with scope: searching the 4ai.ai portfolio of premium .ai domain names for sale, with the available filter axes named. It cross-references list_categories but doesn't distinguish itself from ai_domain_sales or get_domain, so sibling differentiation is partial rather than explicit.

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?

Usage is implied by the filter list ('filter by a word in the name, a category...'), and it correctly routes the agent to list_categories for category keys. However, there is no statement of when to use this versus ai_domain_sales, get_domain, or estimate_domain_value, and no guidance on what to do with zero results.

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