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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered and the description only needs to add context. It does add useful data-shape context (price in USD, date, venue, source) in the absence of an output schema, but says nothing about sort order, how 'biggest' is determined, recency of the dataset, or what an empty result looks like. Adequate, with real gaps.

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 short sentences with no filler; the data scope is front-loaded and the use case follows. Nothing is wasted, though the parenthetical field list is the only slightly dense element.

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 usefully enumerates what comes back (price, date, venue, source), and the two optional params are fully covered by the schema. What's missing is minor but real: sort semantics and data recency. Close to complete for a simple read-only lookup.

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 both optional parameters (limit with default 20, max_length excluding the .ai suffix) are fully documented structurally. The description adds no parameter meaning beyond that, though 'biggest' hints at an ordering that the schema does not state. Baseline 3 is appropriate when the schema carries the load.

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 resource: the biggest publicly reported .ai domain sales, with the returned facets (price, date, venue, source) named. The verb is implicit (a read/list) but the scope is unambiguous, and 'publicly reported' plus 'biggest' sharply narrows what data this is versus a general domain lookup. It does not explicitly differentiate itself from estimate_domain_value, which is the closest sibling.

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 clause 'Useful to estimate what a .ai domain is worth' implies a use case but gives no when-to-use/when-not guidance and names no alternative. It actually sits adjacent to estimate_domain_value without saying whether this is evidence for that estimate or a substitute for it, leaving the agent to infer the routing. Implied usage only.

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