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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered; the description adds real value by disclosing the payload shape (guía de la entrevista, ficha de la marca por secciones con lo que falta preguntar, muestras de tono del admin, cuentas, Piloto automático, reglas activas). This tells the agent it is a heavy context-loading read that seeds a conversation. It does not mention size limits, pagination or freshness of the returned data.

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?

The purpose is front-loaded in the opening clause, which is good, but the middle sentence is a dense six-item enumeration of returned artifacts that could be tightened or grouped. The usage sentence is short and earns its place; the return-value list is informative but verbose.

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?

There is no output schema, so the description correctly carries the burden of describing what comes back, and it does so in concrete terms. For a read-only, single-parameter entry-point tool this is nearly sufficient; only the optionality of brand_id and the relationship to downstream configuration tools remain unstated.

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?

With a single parameter at 100% schema description coverage, the schema already explains brand_id, including the instruction to use only the brand the user named and to ask if several exist. The description adds no additional parameter meaning, so the baseline of 3 applies. Notably it never clarifies that brand_id is optional (0 required parameters), which the schema implies but does not state.

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?

States a specific verb and resource: 'Primer paso para configurar los bots de una marca (comentarios y mensajes) conversando con el usuario', and enumerates what it returns. It clearly frames itself as the entry point of the setup flow rather than a configuration writer, but it never names siblings like configure_autopilot or create_comment_bot, so the boundary with them is only implied by 'primer paso'.

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?

'Úsala cuando pidan configurar, personalizar o revisar la automatización' gives an explicit trigger condition covering the main intents. It lacks any when-not guidance or named alternative, and 'revisar' overlaps with read-oriented siblings such as get_brand_manual or get_brand_overview, leaving that ambiguity unresolved.

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