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Omega x402 Security, Biomed & Escrow Intelligence MCP

web_extract_intel

Fetches any public HTTPS webpage into clean LLM-ready Markdown + OpenGraph metadata while simultaneously auditing live Cloudflare DoH DNS (A, MX, SPF, DMARC) records to score domain authenticity and phishing risk. (Paid x402 endpoint: $0.01 USDC at GET https://agy-x402-gateway.omega-x402-edge.workers.dev/api/v1/web-extract-intel)

Input Schema

NameRequiredDescriptionDefault
urlNoPublic HTTPS URL to extract and inspect (e.g. https://x402.org)
max_charsNoMax Markdown characters to return (500-15000, default 6000)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and discloses key behavior: it fetches a public HTTPS page, returns Markdown plus OpenGraph metadata, performs a live Cloudflare DoH DNS audit across A, MX, SPF, and DMARC records, and produces an authenticity/phishing-risk score. It also discloses that this is a paid x402 endpoint with a specific price and request URL, though it does not cover rate limits or error behavior.

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

Conciseness4/5

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

The essential purpose and outputs are front-loaded, and the paid-endpoint detail is properly subordinate in parentheses. It is efficient overall, though the single dense sentence packs multiple functions and the endpoint URL into one compact block.

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

Completeness3/5

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

The description explains the main return content and the paid access model, which is useful given the absence of annotations. However, with no output schema, it still leaves the exact response structure and meaning of the authenticity/phishing score unspecified, and it does not explain error or payment-failure behavior.

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 both parameters are already documented in the schema. The description adds only the public-HTTPS constraint on the URL and does not add format, range, or default details beyond what the schema provides.

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

Purpose5/5

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

The description uses a specific verb and resource ("Fetches any public HTTPS webpage") and clearly names its combined outputs: clean LLM-ready Markdown, OpenGraph metadata, DNS audit records, and a phishing-risk score. It is distinct from all listed siblings, which cover escrow, biomedical, bounty, token, wallet, and x402 linting functions.

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?

It implies usage by describing webpage extraction and domain-authenticity scoring, but gives no explicit when-to-use guidance, no alternatives, and no when-not-to-use conditions. The only stated constraint is that the URL must be public HTTPS, which is a scope limit rather than selection guidance.

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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