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

Annotations are empty, so the description bears the full burden. It discloses information sources, event thresholds (M5.0+), and return fields (magnitude, severity, coordinates, affected country). Yet it does not mention limitations such as update frequency, number of events returned, or output structure. This is adequate but not deeply 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 two concise, front-loaded sentences. The first sentence states the action and sources; the second covers return fields and target users. No redundant or filler content, earning a high score.

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 zero-parameter tool with no output schema, the description covers the essential context: data sources, what events are included, what data is returned, and who benefits. It is slightly incomplete because it does not clarify how this differs from get_disaster_events or describe the output format, but it is sufficient for most agents.

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 tool has zero parameters, so schema coverage is trivially 100% and the baseline is 4. The description adds value by explaining what the returned data contains and its business relevance, even though there are no parameter details to elaborate.

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 identifies a specific verb ('Get') and resource ('natural disaster alerts') with explicit data sources (USGS, NOAA, GDACS) and event types (earthquakes M5.0+, hurricanes, etc.). This distinguishes it from generic siblings like get_disaster_events by naming individual agencies and thresholds.

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 provides a clear use case: 'Used by logistics planners and procurement teams to reroute shipments and activate contingency plans'. This gives context for when the tool is appropriate. However, it does not explicitly mention when to avoid using it or list alternative sibling tools, so it stops short of full exclusions.

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