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

No annotations are provided, so the description must carry the burden of behavioral disclosure. It mentions 'scanned directly from XRPL trust lines,' which gives some insight into the data source, but it does not state whether the operation is read-only, whether any authentication is needed, what the return format is, or any potential rate limits. This is a significant gap for a tool that performs analysis.

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, concise sentence that front-loads the key purpose and outputs. Every phrase adds value, and there is no redundancy or unnecessary detail.

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?

Given the tool has no parameters and no output schema, the description covers the core purpose and expected results. It could mention whether the analysis is current or historical, and clarify that it is a read-only operation, but for a zero-parameter tool it is reasonably 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 tool has zero parameters, so the baseline is 4. The description adds context about the type of analysis and outputs, which is sufficient. No parameter-specific semantics are needed.

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: 'RLUSD holder distribution analysis' with specific outputs (whale concentration, top 10/50 holders, concentration risk score). It also mentions the data source (XRPL trust lines), distinguishing it from sibling tools focused on supply, anchors, or other aspects.

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 analyzing RLUSD holder distribution, but provides no explicit guidance on when to use this tool versus siblings like xrpl_rlusd_supply or xrpl_trust_lines. No exclusions or alternatives are mentioned, leaving the agent to infer context from the tool name.

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