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

The annotations already declare readOnlyHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds that the log is aggregated across three event types and includes status values. It says nothing about ordering (newest-first?), how far back the log goes, or what the default limit does.

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 short sentences: first the content and shape of the response, then the optional filters. It is front-loaded and wastes no words, though the filter sentence could have carried the missing limit/brand_id detail instead of just listing categories.

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 output schema, the description does the needed work by naming the entity types and status field the log returns. The remaining gaps, result ordering, the default limit of 30, and brand_id selection guidance, are the only things missing for a read-only list tool.

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?

Schema coverage is only 40%, so the description must help, and it does name three of the five filters (category, status, text). It omits limit and the brand_id selection rule, and its list of statuses (success, error, pending) is a subset of the enum (all, warning, neutral missing). That is partial coverage of an under-documented schema.

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 concrete resource and scope: a cross-type activity feed for a brand covering publications, bot replies and messages, each with its status. That is clearly more than a restatement of the name. However, it does not separate itself from the similar sibling get_comment_bot_log (bot-specific logs), so an agent must still infer the boundary.

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 framing 'Lo que pasó en la marca' implies the use case (a general recent-activity overview across content types) but never states when to use this instead of list_posts, get_comment_bot_log or get_account_insights. No exclusions or prerequisites are given, leaving the routing to inference.

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