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

With no annotations present, the description carries the full behavioral burden. It usefully discloses that the tool is a paid pay-per-use service (0.03 USDC on Base via x402), which is genuine operational context. It does not, however, describe output shape, limits on rows/columns, or failure behavior.

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 tightly packed segments: the purpose is front-loaded, followed by the input format and pricing. No filler sentences. The format string is slightly cryptic but compact and functional.

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 data-transformation tool with no output schema and no annotations, the description supplies purpose, input encoding, and payment model. It omits what the pivot returns, any limits, and error conditions, leaving a moderate gap for an agent to invoke it confidently.

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?

Although schema coverage is nominally 100%, the schema's only description is the boilerplate 'service input'. The description compensates by specifying the pipe-delimited format '<url_o_csv>||<indice>||<valores>', giving real meaning (source, index/row field, value field) that the schema does not provide.

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+resource: building a pivot table ('Tabla pivote') over a CSV. An agent can distinguish this from siblings like limpiar-csv or estadisticas-descriptivas. However, it does not explicitly name or contrast against those alternatives, so it falls short of the 5-level sibling differentiation.

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?

There is no guidance on when to use this tool versus alternatives such as estadisticas-descriptivas, correlaciones, or limpiar-csv. The description only conveys what it does and the input format, leaving usage context entirely to inference.

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