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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds only the metric set returned; it says nothing about date-range defaults when from/to are omitted, aggregation granularity, or how engines/categories filtering changes the result.

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, and the metric list is placed immediately after the verb. It is efficient, though its brevity is achieved partly by omitting information the agent actually needs.

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 6-parameter, filter-heavy analytics endpoint with no output schema and no parameter documentation, one sentence is not enough. An agent cannot tell what the default time window is, whether engines/categories are required for meaningful output, or what shape the trend data takes.

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 description coverage is 0%, so the description must compensate and does not: it never mentions the required projectId/siteId scoping, the from/to date window, or the engines/categories filter arrays. Six parameters are left entirely undocumented apart from their names and enum values.

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?

Specific verb ('Read') plus resource (brand AI visibility) with the four metrics it returns (visibility, share of voice, position, trend). An agent can tell this is the headline/overview metric endpoint. It does not, however, distinguish itself from near-siblings like get_ai_visibility_citations, get_ai_visibility_competitor, or get_ai_sentiment_overview.

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?

No statement of when to use this versus the many adjacent visibility and sentiment tools in the sibling list. The word 'overview' implies an entry-point aggregate, but no alternatives or exclusions are named, leaving routing to inference from the tool name alone.

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