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

Annotations already declare readOnly, idempotent, non-destructive and open-world behavior. The description adds valuable cost context (0.02 USD via x402) and clarifies the transformation into structured output, so the agent understands the economic and functional behavior. No annotation contradiction.

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?

Two purposeful sentences: the first states behavior and output, the second states cost/payment method. No filler, front-loaded.

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, read-only tool, the description plus schema and annotations is nearly complete. It states the input, the output nature, and the cost, though it does not detail the exact output fields or formats; with no output schema, a slightly richer return specification would make it fully 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?

Schema covers the only parameter 100% with the description 'Texto libre, sin datos personales', so the schema does the heavy lifting. The tool description repeats no parameter details but does not need to; baseline 3 applies.

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 names the exact operation ('Convierte notas de versión') and the resource (changelog/release notes) and states the output shape (structured list of versions, changes, types). It is clearly distinct from sibling extraction tools, though it does not explicitly name any alternative.

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 gives a use context ('para alimentar agentes de documentación o seguimiento técnico') that implies when the tool is relevant, but it provides no explicit when-not-to-use guidance or comparison with sibling tools such as extraer-requisitos-oferta or normalizar-requisitos-csv.

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