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

The description discloses a cost ('$0.09 via x402') and proprietary nature, which is behavioral. However, it conflicts with the schema's optional x_payment parameter, leaving the agent uncertain whether payment is required. It also omits details about return format or any side effects, and with no annotations, this is a significant gap.

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 description is a single concise sentence, but the wording is cryptic and poorly structured, with the unclear phrase 'with competitors AI names instead' and no logical flow of information. It sacrifices clarity for brevity.

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 tool with no annotations, the description fails to explain the return structure, how to use the category filter, or whether payment is required, making it incomplete for an agent to invoke correctly. The output format and invocation details are entirely absent.

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 description does not explain the 'category' or 'x_payment' parameters beyond what the schema already provides. In fact, it introduces confusion by implying payment is mandatory ('$0.09 via x402') while the schema marks it optional, degrading the semantic value instead of adding clarity.

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?

The description states it provides 'proprietary AI-visibility scores for 25 major brands across 5 industries', which specifies the resource and scope. However, the phrase 'with competitors AI names instead' is ambiguous and undermines clarity, and it doesn't distinguish the tool from siblings like ai_visibility_signal or brand_ai_visibility_check.

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?

There is no guidance on when to use this tool versus alternatives. It doesn't mention any conditions, exclusions, or comparisons with sibling tools such as ai_category_ranking or brand_ai_visibility_check, leaving the agent to guess the appropriate context.

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