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

With no annotations, the description carries the full burden; it discloses that the output covers dataset coverage, provenance, and limits, and that it is free ('Gratis'), implying no paid/auth barrier. It does not state whether the call is read-only, what format the metadata takes, or any rate limits, so it is only partially transparent.

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?

A single short sentence, front-loaded with the key noun 'Cobertura' and no filler. It is efficient, though extremely terse rather than optimally informative.

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?

No annotations, no output schema, and no parameters, so the description is the only source of information — yet it leaves the dataset identity, return shape, and relationship to the dataset-related siblings unexplained. For an informational tool it should do more.

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 tool takes zero parameters, so there is nothing for the description to clarify; the baseline for a no-parameter tool is 4.

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 phrase 'Cobertura, fuente y límites del dataset' names the resources returned (coverage, source, limits), so the agent can infer this is an informational dataset-metadata tool. However it is a bare noun list with no verb, and it gives no indication of which dataset or how it differs from the sibling 'solicitar_dataset'.

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 when-to-use guidance, no prerequisites, and no routing to alternatives such as solicitar_dataset or buscar_estaciones. 'Gratis' hints at cost but does not tell the agent when this tool is the right choice.

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