x402-page-audit
Page Audit: Web page audit — SEO, accessibility, and performance.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Page Audit: Web page audit — SEO, accessibility, and performance.
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of explaining behavior. It says what areas are audited (SEO, accessibility, performance) but does not disclose whether the tool fetches a URL, analyzes provided HTML, makes network requests, or returns a report. This is a significant gap for an audit 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?
The description is compact and front-loaded with the tool's core purpose. The only minor redundancy is starting with 'Page Audit' followed by 'Web page audit,' but overall the two-part phrasing is efficient and easy to parse.
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?
Given no annotations and no output schema, the description is too thin to fully equip an agent. It omits the expected input format, output shape, and whether the audit is live or based on supplied content. The sparse single-parameter schema makes this more costly than it would be otherwise.
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 is technically documented, but its description ('Input to process') is generic and unhelpful. The tool description implies the input relates to a web page but does not clarify whether it should be a URL, HTML, or another representation.
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 states it audits a web page across SEO, accessibility, and performance, giving a specific verb and resource. It is reasonably distinguishable from sibling tools like x402-site-audit and x402-domain-audit because it says 'web page.' However, it does not explicitly emphasize the single-page scope compared to site-level tools.
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?
No guidance is provided about when to use this tool versus alternatives such as x402-accessibility-check, x402-site-audit, or x402-domain-audit. The description does not mention any exclusions, prerequisites, or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.