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

Annotations already declare read-only, idempotent, open-world, non-destructive, so the safety profile is covered. The description adds what annotations cannot: pricing via x402 ($0.01 USDC on Base), no-charge on empty results, no account/API key needed, and which endpoints are free — genuinely decision-relevant behavior.

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?

Front-loaded with purpose first, then the parameter, then the return content and pricing constraints. The trailing 'Free tools: health and tools/list' line is slightly tangential, but everything else earns its place for an agent deciding whether to spend money.

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?

Covers purpose, input format, coverage limits, cost model, and free alternatives; the return fields are further backed by an output schema. Nothing an agent needs to decide or invoke correctly is missing.

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 the single state parameter is already fully documented including the CA/NY example. The description repeats rather than extends the schema, which is the expected 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?

States a specific verb and resource ('Get active weather alerts for a US state') and names the exact data source (National Weather Service). An agent can tell it apart from get-forecast without opening either schema.

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?

Gives clear context (active alerts only, US locations only) and the input convention (two-letter state code). It does not explicitly name get-forecast as the alternative for forecast data, so the sibling routing is only implied.

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