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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuine behavioral context beyond them: it reports the service's upstream nodes rather than caller connectivity, and it can be used to diagnose a 503 from other endpoints. Return-shape detail is deferred to the existing output schema, which is acceptable.

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?

Three front-loaded labeled sentences plus a call example; the purpose is stated before the usage and anti-use guidance. Every sentence carries information an agent needs, with no filler.

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?

With no parameters, rich annotations, and an existing output schema to carry the return shape, the description only needs to explain purpose and selection rationale, which it does fully. Nothing needed to call it correctly is missing.

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 takes zero parameters, so the baseline is 4. The description reinforces this by showing the call as 'xrpl_network_health {}', leaving no ambiguity that no arguments are required.

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 first sentence gives a specific resource and scope: overall and per-node health of the upstream XRPL nodes. It distinguishes itself from sibling health tools by specifying 'upstream XRPL nodes' and by explicitly denying that it probes the caller's own connectivity. An agent can tell this apart from solana_network_health and the xrpl_* data tools without opening a schema.

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 states explicit when-to-use conditions ('to decide whether to trust or retry data, or to explain a 503 from another endpoint') and an explicit anti-use case ('Not a probe of your own connectivity'). This is the when/when-not pattern the rubric rewards.

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