ClearPage

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

With no annotations, the description carries the full burden, and it does disclose genuinely useful behavior: calls are free up to a daily quota, then $0.002 per call paid in USDC on Base via x402, and the URL must be public. It does not state what happens on non-public or unreachable URLs, whether results are cached or fetched live, or any size/timeout limits.

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?

Two sentences with no filler: the return payload is front-loaded and the pricing/cost caveat follows. The field enumeration is long but each item tells the agent what to expect back, so it earns its space.

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?

For a one-parameter tool with no output schema, the description successfully substitutes for a return-value spec by listing the metadata categories returned, and it covers the payment prerequisite. Residual gaps are error/failure semantics and any freshness or caching behavior.

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?

There is a single parameter with 100% schema description coverage ('Public http(s) URL'), so the schema already does the work. The description's 'public URL' phrasing matches rather than extends the schema, adding no format or constraint detail beyond it; 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 names the resource (a public URL) and enumerates exactly what is returned: title, canonical, OpenGraph, Twitter card, JSON-LD, headings, feeds, and links. That enumeration implicitly separates it from page_to_markdown (structured metadata vs. rendered text), but the sibling is never named, so the differentiation is left to inference.

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?

There is no explicit when-to-use or when-not-to-use guidance, and the only available alternative (page_to_markdown) is not referenced at all. The pricing sentence implies a cost consideration for repeat calls but gives no routing logic between the two tools.

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

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

With no annotations, the description carries the full disclosure burden, and it does well on several fronts: it discloses main-content extraction (nav/ads stripped), the exact fields returned, that only public pages are supported (no auth), and a concrete cost model (free daily allowance, then $0.003 per call in USDC on Base via x402). Gaps remain on failure behavior, JS rendering, rate limits, and whether payment failures block the call, so it is solid but not complete for a zero-annotation tool.

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?

Two sentences, zero filler. The functional capability and output shape come first, followed by the pricing/access constraint, which is exactly the right priority order for an agent deciding whether to invoke it.

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?

For a single-parameter fetch tool with no output schema, the description supplies what the schema cannot: the shape of the return value (Markdown plus metadata fields) and the cost/auth model. It stops short of describing error or empty-extraction behavior, which is the one remaining thing an agent might need.

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?

There is a single required parameter whose schema entry ('Public http(s) URL') already carries the 100% description coverage; the description's 'public web page' phrasing reinforces the same constraint but adds no syntax or format detail beyond the schema. With one fully documented parameter, the schema is doing the work and the description need not elaborate.

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 names a specific verb and resource ('Fetch a public web page') and specifies the return format ('clean, readable Markdown' with main-content extraction plus title, byline, language and word count). It is clearly distinguishable from a metadata-only tool in substance, but it never names page_metadata or states the contrast explicitly.

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?

Usage context is implied rather than stated: 'public web page' implicitly excludes authenticated or private URLs, which is useful selection guidance. However, there is no explicit 'use this instead of page_metadata when you need full body content' statement, so the agent must infer the boundary with the only sibling.

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