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

Annotations already cover read-only and open-world, but the description adds genuinely load-bearing behavior: sub-minute latency, paid-per-call at 0.02 USDC on Base via x402, and the payout wallet/identity attestations. That payment/auth prerequisite is exactly the kind of context annotations cannot express; the token-fee and agent-ID material is less behavioral but still useful for trust verification.

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 core capability, input example, and public-page restriction are front-loaded and efficient. The tail — token contract address, ERC-8004 agent ID, two verification URLs, truncated wallet, and duplicate payTo note — is heavy promotional/attestation filler that inflates the definition without helping tool selection.

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?

With no output schema, the description compensates by describing the return shape (summary/extraction plus source URL, evidence, timestamp, limitations) and by disclosing cost and page restrictions. Missing only edge behavior such as failure modes, page-size limits, or timeout handling.

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 url, request and output_format are already fully documented; the description mainly restates them via an example object. The example adds a little guidance on how to phrase 'request', but no constraint details beyond the schema (e.g., https-only is already in the pattern).

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?

Opens with a concrete verb+resource ('Turn a public web page into a structured summary or extraction') and names the return payload (source URL, evidence, timestamp, limitations). It is distinguishable from research siblings like project_research_report or contract_research by being a generic single-page fetch/extract, though it never explicitly contrasts with them.

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?

Gives a hard when-not boundary: 'Public pages only: no sign-in walls, blocked content, forms or account actions,' plus a worked input example. It stops short of naming an alternative tool for authenticated or non-page tasks, so routing against siblings is inferred rather than stated.

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