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

Annotations already declare this as a read-only, idempotent, open-world query, so the safety profile is known. The description adds useful behavioral context: a default magnitude threshold that can be tuned and real-time official sourcing. However, it does not describe data freshness beyond 'real-time', rate limits, or output format, leaving some behavioral gaps.

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 content is dense but front-loaded with the key functionality. However, it includes repetitive meta-information like the vendor name, source citation, and pricing both in the description and in the x402 brackets, which adds noise without helping the agent invoke the tool correctly.

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, zero-required-parameter tool with annotations covering safety, the description provides enough to know what is returned and a default filter. It is adequate but has clear gaps: no indication of time range, spatial scope, or how to retrieve the cluster detection details beyond the summary, and no output schema is provided to fill that void.

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?

There is only one optional parameter, and the schema description already contains the full tool description (100% coverage). The description mentions that the magnitude threshold is 'tunable', which maps to the parameter's effect, but it does not explain the parameter's name, format, or bounds. Baseline 3 is appropriate when the schema carries the parameter documentation.

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 states a specific resource (USGS FDSN earthquake data) and the derived signals it returns: PAGER alert level, tsunami flag, and active seismic cluster detection. It is clear what the tool does, though it doesn't explicitly differentiate itself from the other Syntora data tools in the sibling list.

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 implies a context (insurance-risk and disaster prediction markets) and the default magnitude threshold, but provides no explicit when-to-use or when-not-to-use guidance, nor does it reference alternatives. Usage is only weakly implied.

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