JavaScript Rendering Check

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

With annotations already covering read-only/idempotent behavior, the description adds meaningful behavioral details: it detects unhydrated SPA shells, reports word counts, flags script-heavy documents, and returns a specific structured object. It does not disclose potential limitations (e.g., whether JavaScript is executed) but overall exceeded annotation coverage.

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 well-structured and front-loaded with the core purpose. Each subsequent sentence adds contextual value: AI visibility rationale, detection details, parameters, return format, and a concrete example. Nothing is redundant or irrelevant.

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?

The description is highly complete given the tool's complexity. It explains why the tool matters, what it detects, what arguments it takes, what it returns, and shows a realistic example. With annotations and output schema available, no major gaps remain.

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 100% with both parameters already described. The description's 'Args' section essentially repeats the schema without adding new semantics, though the example call helps contextualize usage. Baseline 3 is appropriate given the high schema coverage.

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 clearly states a specific purpose: determining whether content exists in server HTML or requires JavaScript. It lists concrete detection capabilities (SPA shells, word count, script bytes) and explicitly distinguishes itself from classic SEO, emphasizing AI visibility. This differentiates it from sibling tools like seo_audit and ai_crawler_access.

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 description gives strong contextual guidance on when to use it: when evaluating AI assistant visibility, especially for client-rendered pages. It contrasts with classic SEO and provides an explicit example question, but does not name alternative sibling tools for comparison. The 'when-not' is implied rather than explicitly stated.

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