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

No annotations are provided, so the description must carry behavioral disclosure. It reveals a payment model (x402, 0.003 USDC on Base, pay-per-use), which is genuinely useful non-obvious context. However, it does not state whether ranking is deterministic, what the return format is, or rate limits.

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?

Very short and front-loaded: purpose then input format then payment note. No wasted words, though the payment bracket is somewhat cryptic and could confuse without explanation of when payment is charged.

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 one-parameter semantic ranking tool with no output schema, the description gives purpose, input syntax, and payment model, which covers the basics. But it omits return shape, ranking direction, limits on number of documents, and how it differs from similar siblings.

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?

Schema coverage is 100%, and the schema describes input as 'service input'. The description adds the concrete delimiter syntax 'consulta || doc1 || doc2', which is necessary for correct invocation since the schema description does not. That is meaningful value beyond the schema, but only for the single parameter.

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?

States a specific verb and resource: ranking documents by meaning against a query. That is a clear semantic-search purpose. It does not explicitly distinguish itself from sibling tools like semantic-search or embeddings-texto, which is held against it, but the function is unambiguous.

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 input format example implies the tool expects a query followed by documents. But there is no guidance on when to use this versus semantic-search, embeddings, or latency/accuracy tradeoffs. Usage is inferred from the input syntax rather than explicitly stated.

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