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

The description adds useful behavioral context beyond the readOnlyHint/openWorldHint annotations, especially the disclosure that is_live=false indicates a 'cold-load fallback (RPC down or no match yet)'. It also clarifies the fairness of the scoring algorithm, which helps an agent interpret the data correctly.

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 sentences with no filler. The main purpose is front-loaded, followed by the return shape and then a critical edge-case flag. Every sentence earns its place.

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 input parameters, read-only annotations, and no output schema, the description sufficiently equips an agent to call the tool correctly. It names the key returned fields and explains the one non-obvious behavioral case (is_live=false).

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 are zero parameters, so the schema carries no burden. The baseline for zero-parameter tools is 4, and the description provides enough context about what the returned rows contain without needing to explain parameter semantics.

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 verb and resource: 'Return FlareWatch's own Flare P-Chain validator stats'. It also distinguishes this tool from generic validator tools by noting the scoring algorithm is the same as every other validator with 'no promotional weighting'.

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 intended use is implied through the subject matter — you call this to get FlareWatch-operated node stats — but no explicit when-to-use or when-not-to-use guidance is given, nor are alternative tools like get_flare_validators or get_validator_score named.

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