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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the data source (GDACS), the scope (worldwide), and that results are 'sorted by severity,' which is useful. However, it does not disclose whether the operation is read-only, how real-time the data is, pagination behavior, or any rate limits—leaving notable gaps for an agent.

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 sentences, front-loaded with the core message: 'Live natural catastrophe alerts worldwide from GDACS.' Every sentence adds relevant detail (scope, source, event types, sorting) with no filler or repetition.

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?

The tool is relatively simple (4 optional parameters, no output schema, no annotations), so the description covers the essential behavior: what it returns and how it's sorted. However, without an output schema, the description does not explain the structure of each alert (fields, severity levels), and lacks any guidance on edge cases or integration with sibling tools. This makes it minimally adequate but not fully complete.

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 input schema provides 100% coverage for all 4 parameters, each with descriptive text. The description adds only minimal value by mentioning event types that correspond to the event_type parameter, but it does not introduce any new semantic meaning not already present in the schema. Baseline 3 applies.

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's function with a specific verb ('Returns') and resource ('live natural catastrophe alerts worldwide from GDACS'). It lists event types and sorting, making the purpose unambiguous. However, it does not explicitly differentiate from siblings like natcat_history or earthquake_risk, so it stops short of a 5.

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 does not provide any guidance on when to use this tool versus alternatives such as natcat_history or earthquake_risk. It implies a use case (live global alerts) but offers no exclusions, conditions, or explicit alternative suggestions, leaving the agent to infer the appropriate context.

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