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

Annotations already declare readOnlyHint and openWorldHint, so safety is covered; the description adds genuinely non-derivable context about the cost ($0.003 USDC per call) and the x402 payment mechanism, which materially affects invocation decisions. It still omits behavior for JS-rendered pages, size caps, and failure modes.

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?

One tightly packed sentence with the core action front-loaded, followed by target examples and then pricing. No filler, though the cost sentence could be separated for scanability.

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?

Covers the output shape and payment model well, which matters given there is no output schema, but with four 0%-documented parameters (including zero required parameters, an unusual and potentially confusing configuration) the description leaves an agent guessing about valid invocation combinations.

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 description coverage is 0% for all four parameters, so the description carries the full burden — but it only explains the optional CSV output. It says nothing about url vs html as input sources, what limit truncates, or which of the four parameters is expected.

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?

Specific verb+resource ('Extract every data table from a web page as clean JSON rows') with a clear output shape (column names from the header row) and concrete examples of target pages. It does not, however, distinguish itself from the many sibling scraping tools (scrape, crawl, extract, data_run), so an agent must infer which to pick.

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 examples (Wikipedia lists, price tables, sports stats, reports) imply when the tool is appropriate, but there is no explicit when-to-use/when-not guidance and no named alternative such as scrape for non-tabular content.

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