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x402-ai-web-analyze

AI Web Analyze: Analyze a web page with AI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoUrl to process
htmlNoHtml to process
textNoText to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / url
      Added value: +{
      +  "description": "Url to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.5/5.0
Behavior2/5

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

No annotations exist, so the description carries the full behavioral burden. It does not say whether the tool fetches the URL itself or requires pre-supplied html/text, what kind of AI analysis is produced, whether calls are billed/rate-limited, or how long it takes. Only the bare operation is disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded, which is good, but the single sentence largely restates the tool name, so the content density is low rather than genuinely economical.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description needed to explain what the AI returns (summary, insights, classification, etc.) and what input form is expected. Neither is present, leaving the agent unable to predict results or input handling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema documents all three parameters, and the baseline is 3. The description adds nothing about how url, html, and text relate (e.g., whether exactly one must be supplied despite zero required parameters), so it does not improve on the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a verb ('Analyze'), a resource ('web page') and the mechanism ('with AI'), so the basic intent is readable. But 'analyze' is undefined and does not distinguish this tool from siblings such as x402-page-audit, x402-http-analyze, x402-site-audit, or the many x402-ai-* tools that also process page content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose this over x402-web-scrape, x402-page-audit, or x402-ai-summarize, nor any stated prerequisite. The only implicit cue is the tool name itself, which the description merely repeats.

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

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