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

With no annotations provided, the description carries the full burden. It does disclose that the output is clean, boilerplate-stripped text and mentions a cost of $0.02/call via x402, which adds useful behavioral context. However, it omits potential failure modes, rate limits, or handling of dynamic content, leaving gaps.

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 sentence that conveys the core function, output quality, and pricing with no fluff. It is front-loaded and concise, earning the highest score.

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 tool is simple (one parameter, no output schema), and the description covers purpose, output characteristics, and cost. It lacks details on error behavior or edge cases, but these are less critical for a straightforward read operation; thus it is mostly complete.

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 single parameter 'url' has no schema description (0% coverage), and the description does not explicitly define it beyond implying the tool reads webpages. However, the parameter is self-evident from the tool's purpose, so the description provides minimal but adequate context for a straightforward parameter.

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 the tool extracts clean readable text from webpages and strips boilerplate, which is a specific verb-resource pair. This distinguishes it from sibling tools like extract_pdf or transcribe_youtube, which target different content types.

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 explicit guidance on when to use this tool versus alternatives is provided. The description implies it is for reading webpages, but there is no mention of exclusions, such as not for PDFs or videos, nor does it reference sibling tools.

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