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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so safety is covered. The description adds real value beyond them: it enumerates the response contents (sights in flight order, left/right side, rough timing, states crossed, GPS tips) and warns about the airplane-mode GPS caveat, which is a behavioral quirk an agent would otherwise not know.

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?

The core purpose and triggers are front-loaded, but the middle is a long comma-spliced sentence, and the sight list (Lake Okeechobee, Sunshine Skyway, Vehicle Assembly Building, Seven Mile Bridge, Outer Banks, Manhattan, Grand Canyon) is illustrative padding that a two-item sample would have covered. It is informative but not tight.

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 must carry the return shape, and it does — sights, side, timing, states, GPS tips. For a two-parameter read-only lookup that is essentially complete; only the response granularity (how many sights, whether timing is clock or elapsed) is left implicit.

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 both airport-code parameters are documented with examples, so the baseline is 3. The description adds meaning beyond the schema by constraining valid values to US airports — Florida's plus large airports with Florida nonstops — which tells the agent which codes will actually resolve rather than leaving it to guess.

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?

The description states a concrete job — recommending which side of the plane to sit on for a US flight and returning sights, side, timing, states, and GPS tips. It is unambiguous and distinct from every sibling (weather, tides, launches, stories), though no sibling is explicitly named as a contrast, which keeps it from a 5.

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?

It names three concrete trigger situations: picking a seat, asking what will be visible from the plane, and asking why a GPS dot disappears in flight. It also bounds the applicable routes (US airports, Florida's plus major nonstop origins). No explicit exclusions, but the positive triggers are clear enough that an agent can route correctly.

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