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

No annotations are provided, so the description carries the burden. It discloses that it extracts 'readable webpage text' and removes boilerplate, and the output is presumably plain text. However, it doesn't disclose what happens to non-HTML content (e.g., PDFs), or whether the tool handles redirects or requires a valid public URL. There's no contradiction, but it lacks depth on edge cases. Since it's a read-only extraction with a simple contract, a 3 is reasonable.

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, tightly packed with purpose and context. It front-loads the key action ('Extract clean readable webpage text') and includes the target audience, making it efficient and clear. No redundancy or fluff; every phrase earns its place.

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 with one parameter, and the absence of an output schema is acceptable since the output is implied (plain text). The description covers the primary use case and the public URL constraint. However, it doesn't mention error handling (e.g., invalid URL, non-parseable content) or the exact output format (e.g., markdown). Given the tool's simplicity, that's a mild gap. A 4 is appropriate.

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%, so the parameter semantics are already fully documented. The description adds value by implying the URL must be public HTTP(S) and the intention is content extraction beyond the schema. With full coverage, the baseline is 3, but the description's mention of 'public' and 'webpage' gives extra context that aids agent selection, so a 4 is justified.

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 defines the action: extract clean readable webpage text from a URL. It specifies the resource (webpage text) and the purpose (LLM-ready research or RAG ingestion), distinguishing it from siblings like web_intelligence (likely broader web analysis) and search tools. It also mentions removing boilerplate, which clarifies its niche. However, it doesn't explicitly name a sibling to contrast with, but the verb and resource are specific enough.

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 mentions 'public URL' and states the extraction is for research or RAG ingestion, implying when to use. But it doesn't explicitly say when not to use it or mention alternatives. Sibling tools like web_intelligence or search_read could be alternatives for similar tasks, but no direct guidance is given. The public URL constraint is a clear usage condition, but lack of exclusions or alternatives yields a 3.

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