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

Annotations already provide readOnlyHint=true and openWorldHint=true, and the description adds useful behavioral context: it is 'FREE AtlasCast', refreshed several times a day from NOAA models, and specifically forecasts risk rather than reporting observed storms. No contradiction with annotations exists.

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, front-loaded sentences each serve a purpose: scope, deliverable, and data provenance. There is no filler or repetition of schema details.

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 read-only tool with two simple parameters and no output schema, the description adequately explains what the caller can expect (risk grades and property exposure) and the time range. A more complete version might define 'AtlasCast' or clarify the output format, but the essential invocation context is present.

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 schema already documents state and county. The description adds little beyond restating that this is a county-level forecast; it does not provide formula, units, or additional meaning for the two parameters.

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 uses a specific verb ('forecast') with a clear resource ('county risk grades and property exposure') and a defined time horizon (0 to 16 days ahead). It clearly distinguishes itself from historical storm reporting, which is enough to separate it from sibling get_storm_history.

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 provides clear context: this is for future risk, not past events, which implies when to prefer it over historical tools. However, it does not explicitly name alternatives like get_storm_history or get_weather_data, so the agent must infer which sibling to use instead.

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