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

Annotations are empty, so the description must convey behavioral traits. It indicates a read operation (retrieving active alerts) but omits details like data freshness, rate limits, or response format. Adequate for a simple tool but not fully transparent.

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 description is a single, well-structured sentence with no verbose or redundant phrasing. Every element earns its place.

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 list tool with two optional parameters and no output schema, the description covers the core purpose and filtering scope. However, it could clarify the return format or alert types to be fully self-contained.

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% (zone and state have descriptions). The tool description paraphrases the parameter purpose ('by state or zone') but adds no new meaning beyond the schema. Baseline 3 is appropriate.

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 clearly states the tool retrieves active NOAA NWS severe weather alerts (watches, warnings, advisories) and specifies filtering by state or zone. This distinguishes it from sibling weather tools like weather_current_global or weather_forecast_grid.

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?

The description implies usage for fetching severe weather alerts but provides no explicit guidance on when to use it versus alternative sibling tools (e.g., weather_forecast_grid, weather_bias). No when-not-to-use or prerequisite info.

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