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

No annotations are provided, so the description carries full behavioral burden. It does add transparency about paying per use ('[x402: 0.003 USDC on Base, pay-per-use]') and the fact that the input can be in any language, but it lacks disclosure of the output format or response behavior, which is critical since no output schema exists.

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 extremely short and scannable: three clauses with the purpose, the input expectation, and the cost. Every word is useful, there is no filler, and the structure is logical: purpose first, then usage constraint, then economic consideration.

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?

Since there is no output schema and no annotations, the description does not specify what the tool returns (e.g., just the English translated text, or a JSON wrapper). It also does not mention rate limits, error cases, maximum text length, or the significance of the x402 payment integration, leaving significant gaps for an agent deciding whether to call it.

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 schema describes the only parameter as 'service input', which is unhelpful. The tool description adds meaning by stating 'input=texto en cualquier idioma', explicitly clarifying that the parameter expects text in any language. This reduces the risk of misusing the parameter and goes beyond the schema's placeholder description.

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 verb and resource: 'Traduce algo text al inglés' (translate text to English), and explicitly indicates the target language. However, it does not explicitly distinguish it from sibling tools like 'traducir', 'traducir-texto', or 'translate-en', which likely share the same purpose with different names or scopes.

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 gives no guidance on when to use this tool over alternatives. It says 'input=text any language' but that only clarifies the input contract, not the selection conditions, so the agent is left to guess which translation tool to use among several similar siblings.

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