suite_telemetria_stats

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered without description help. The description adds value by disclosing the four categories of data retrieved, but says nothing about authentication needs, aggregation windows, caching, or rate limits on the external (PyPI/GitHub) calls.

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 front-loaded sentence with no filler; the verb and resource come first and the metric categories follow. Minor redundancy in the trailing 'de la suite' qualifier keeps it just short of ideal.

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?

With no parameters and no output schema, the description carries the burden of explaining what comes back, and it only lists data categories rather than describing the shape or granularity of the results. Combined with total absence of usage guidance relative to many suite-related siblings, it is adequate but leaves real gaps.

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 the schema has nothing to explain and the baseline for zero-param tools applies. The description correctly avoids inventing parameter details that do not exist.

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?

It uses a specific verb ('Consulta') plus a concrete resource ('estadísticas') and enumerates exactly which metrics are covered: adoption, PyPI downloads, GitHub community, and local suite metrics. The scope is clear enough to separate it from data-oriented siblings, though it does not explicitly name or contrast with tools like suite_doctor or suite_verificar_actualizacion.

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 states what data is returned but gives no when-to-use guidance, no prerequisites, and no alternatives. An agent cannot tell from this text whether to call this instead of suite_doctor or suite_verificar_actualizacion for suite health questions.

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