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x402-ai-web-analyze

AI Web Analyze: Analyze a web page with AI.

Input Schema

NameRequiredDescriptionDefault
urlNo
htmlNo
textNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • removedInput schema / properties / html / description
      Removed value: -"Html to process"
    • removedInput schema / properties / text / description
      Removed value: -"Text to process"
    • removedInput schema / properties / url / description
      Removed value: -"Url to process"
  2. 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"
      +}
  3. First observed

TDQS

D1.3/5.0
Behavior1/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: not whether it fetches the URL itself, what kind of analysis it returns, whether it requires HTML/text input vs URL, whether it's read-only, or any cost/latency characteristics.

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

Conciseness2/5

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

It is short, but brevity here reflects under-specification rather than efficiency. The name is needlessly repeated in the body, wasting the only real estate it has.

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

Completeness1/5

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

With 3 undocumented parameters, no annotations, and no output schema, the description is completely inadequate. An agent has no basis to decide how to call this tool correctly relative to its numerous siblings.

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

Parameters1/5

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

Three parameters (url, html, text) exist with 0% schema description coverage, and the description mentions none of them. An agent cannot tell whether to supply a url, raw html, or extracted text, or what happens when multiple are provided.

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

Purpose2/5

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

The description simply restates the tool name ('AI Web Analyze') and adds the tautological phrase 'Analyze a web page with AI.' The resource (a web page) is identifiable, but 'analyze' is an unspecified verb that doesn't distinguish this from siblings like x402-ai-summarize, x402-text-intel, x402-page-audit, or x402-http-analyze.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus the many other AI/web analysis siblings such as x402-ai-summarize, x402-web-scrape, x402-page-audit, or x402-content-score. No prerequisites, no exclusions, no context.

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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