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

The description usefully discloses that dry_run defaults to true and writes nothing, what the preview returns (cuántas reglas va a crear, mantener o apagar), and that the real call requires user confirmation first — strong context for a tool annotated destructiveHint=true. It does not itself explain what gets turned off or that a scope not mentioned is left untouched (that detail lives only in the nested schema), so it falls short of full disclosure.

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?

Four sentences, front-loaded with the resource and scope, then the partial-update rule, then the dry-run safety flow, then the boundary with update_brand_profile. No filler and every clause carries operational information.

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 destructive, nested-schema mutation with no output schema, the description covers the safety flow, the preview output, and brand scoping, which is the bulk of what an agent needs. Remaining gap: it never states whether rules the user does not name are preserved or removed, which matters given destructiveHint=true.

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?

Top-level schema description coverage is 33%: changes has no top-level description and dry_run only carries a default, so the description must compensate. It does clarify dry_run's semantics and return value, and gestures at response_dialect and hater_policy ('el dialecto y el trato a insultos'), but never explains enum values such as hater_policy (ignore/escalate/de_escalate/humor) or content_filter.

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?

Names a specific resource (el Piloto automático de la marca) and enumerates the configurable dimensions: cuentas/redes, modo de respuesta, dialecto, trato a insultos. It explicitly separates itself from update_brand_profile, but does not distinguish itself from sibling bot tools (create_comment_bot, update_comment_bot, set_conversation_bot, save_dm_automation), which an agent could easily confuse with this one.

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?

Gives a concrete operational flow — dry_run=true first, show the counts to the user, repeat with dry_run=false only on confirmation — plus the partial-update rule 'Cambia solo lo que nombres' and a redirect to update_brand_profile for business knowledge. The gap is sibling routing: nothing says when to use this versus the per-bot tools.

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