DeriveAI x402 APIs

web_scrape

Extract text content, links, title, and metadata from any URL. Returns cleaned text (scripts/styles removed), page title, meta description, and up to 50 links.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "web_scrape"
  }
}

Input Schema

Name	Required	Description	Default
`url`	Yes	Full URL to scrape (e.g., https://example.com)

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 19, 2026

TDQS

B3.4/5.0

Behavior3/5

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

The description discloses the output format (cleaned text, page title, meta description, up to 50 links) and notes that scripts/styles are removed. However, it does not mention potential side effects such as redirects, error handling, rate limits, or any other behavioral aspects that might affect the agent's decision, especially given the lack of annotations.

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

Conciseness5/5

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

The description is concise and free of redundancy. Every sentence adds value—stating the action and the specific output format—without unnecessary elaboration.

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

Completeness4/5

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

Given that there is no output schema, the description adequately explains what the tool returns (text, title, meta description, links). It covers the core expected behavior but omits details about error scenarios, URL validation, or response formatting, which could be considered minor gaps but not detrimental.

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?

There is only one parameter (url) and its schema description fully covers it (100% coverage). The tool description adds no additional detail beyond the schema, so per the rubric, a baseline of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the tool extracts text content, links, title, and metadata from a URL. It is specific about the verb and resource, but does not explicitly differentiate from sibling tools like screenshot or scrape_structured, though the name and description strongly imply raw text extraction.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, limitations, or typical use cases, leaving the agent to infer appropriateness from the name and description alone.

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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