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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so safety is covered. The description adds real return-shape context (aliases and spot counts are included) that no output schema provides, though it omits whether the list is exhaustive or can be paginated.

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 tight sentences, with the value proposition and examples front-loaded and the usage instruction second. Every clause carries information; nothing is repeated from the schema or annotations.

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 zero-required-parameter enumeration tool without an output schema, the description covers purpose, trigger, and returned fields well. Minor gap: it doesn't state whether the response is the complete zone list or varies with the kind filter.

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, but the description earns above baseline by mapping the three enum values onto concrete meanings: quadrants, named areas (Strip, Downtown, Summerlin, etc.) and landmark waypoints (UNLV, airport). It still doesn't say what happens when kind is omitted.

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 (learn which zone names/slugs exist) and enumerates the concrete zone families returned (quadrants, named areas, waypoints) plus aliases and spot counts. That makes it clearly distinguishable from get_zone, which fetches a single zone.

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?

"Call it when the user's area is ambiguous or before passing a zone to other tools" gives explicit trigger conditions and a sequencing rule. It stops short of naming get_zone as the alternative for resolving a single known zone, but the discovery-vs-lookup split is clear.

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