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

Annotations already establish a safe, idempotent, non-destructive read, but the description adds genuine behavior beyond them: source/freshness metadata is returned, availability is disclosed, unit conventions (ft, kt, s, F, mi; directions FROM) are stated, and the empty-report caveat warns against a false-safe reading.

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 sentences, purpose front-loaded, with the units/return line last. Every sentence carries information, though the units list sits slightly awkwardly before the return statement.

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, and the description partly compensates by stating that data plus source/freshness metadata come back. However, the nested query parameter is entirely undocumented, leaving a real gap for a tool whose only input is that query object.

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?

The single query parameter with nested bbox and category fields has 0% schema description coverage, and the description says nothing about them. The unit list refers to returned values, not to how to populate bbox or category, so the parameter gap is unmitigated.

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 names a specific resource (Lake Okeechobee stage and releases) and its provenance (published agency dataset), so an agent can tell it apart from generic siblings like get_tides or get_canal_discharges. It stops short of explicitly contrasting itself with those nearest neighbors.

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?

There is a caution ('Empty reports do not establish safe conditions') that tells the agent how to interpret a result, but no guidance on when to prefer this tool over alternatives such as get_canal_discharges or get_usgs_water. Selection remains inferred.

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