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

With no annotations provided, the description takes full responsibility for behavioral disclosure. It reveals pricing ('$0.01 per call'), the output format (markdown with preserved headings, links, code blocks, blockquotes), and that ads and boilerplate are stripped. It also states 'No account, no API key,' which sets correct expectations. However, it omits details about error handling or timeouts.

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 concise and well-structured. It starts with the tool name and pricing, then explains the action and output, and ends with the use case and no-account policy. Every sentence adds value without redundancy.

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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description covers the essential aspects: purpose, input, output format, pricing, and use case. It could mention error cases (e.g., invalid URL) but is otherwise complete for a straightforward fetching 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 100% with one parameter (url) described as 'Full http(s) URL.' The description reinforces that the URL should be an article page ('Give it a URL and get back the article text') but adds no new semantic detail beyond what the schema provides. Baseline 3 applies.

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's purpose: 'Turn any web page into clean, readable markdown.' It specifies the action (read a page), the resource (web page URL), and the output format (markdown). It also distinguishes itself from sibling tools by focusing on page reading, while siblings like dns and whois serve different domains.

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 provides a clear use case: 'Ideal for feeding page content to an LLM.' It implies when to use the tool (when you need clean text from a URL) but does not explicitly state when not to use it or provide alternatives. Given the sibling tools are distinctly different, the guidance is sufficient.

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