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

With no annotations, the description carries the full burden and does well: it discloses the exact payment (6000 atomic USDC on Base via x402), that MCP does not pay but returns a challenge handoff, and that truncation bounds are surfaced in warnings. It omits error/redirect behavior and auth failure handling, which are partly covered by the schema.

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?

Three dense sentences, front-loaded with what the tool returns, followed by bounds/warnings and then payment mechanics. Every sentence carries information, though the x402 payment phrasing is somewhat terse for an uninitiated agent.

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?

No output schema exists, so the description must describe returns, and it does: HTML tables as arrays of rows/cells with explicit bounds and warning semantics. Combined with the schema's origin rules and the payment handoff explanation, an agent has enough to call it correctly, though error-path behavior is unstated.

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?

One parameter at 100% schema coverage, so the schema already documents the url field thoroughly (origins, robots.txt, redirects). The description adds no format or syntax detail beyond what the schema provides, matching the baseline for fully-covered params.

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?

States a specific verb+resource: fetch a reviewed public page and return its HTML tables as rows/cells. This clearly distinguishes it from siblings like page_markdown, page_links, and page_json_ld, which extract different representations from the same pages.

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 implies when to use it (when you need HTML tables from a reviewed page), but never names an alternative or states when-not to use it versus page_markdown/page_json_ld. Usage must be inferred from the purpose rather than being explicit.

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