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

With no annotations provided, the description carries the full behavioral burden. It does disclose a useful filter behavior: cancelled/cleared bulletins are excluded when labelled. It does not explain auth requirements, rate limits, return shape, or the meaning of 'PRO', so transparency is partial.

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?

It is a single compact sentence with no wasted text. The leading 'PRO.' is cryptic, but the sentence is appropriately sized and front-loads the filtering behavior.

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 simple one-parameter retrieval tool, the description covers the core filter logic and output type. However, with no annotations and no output schema, it leaves gaps around subscription/auth implications and how this tool relates to its siblings.

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?

There is only one parameter and schema coverage is 100%, so the schema already documents access_token as a subscriber token. The description adds no additional parameter semantics beyond that baseline.

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 says it returns bulletins that are current warnings/advisories and filters cancelled/cleared ones, which gives a usable resource and scope. However, the verb is implicit ('Bulletins that look like...'), 'look like' is hedged, and it does not distinguish itself from siblings latest_tsunami or tsunami_search.

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 no explicit guidance on when to use this tool versus latest_tsunami or tsunami_search. The filtering behavior implies it is for active warnings, but alternatives and when-not-to-use conditions are absent.

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