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agent-audit + page-read (x402)

Read a web page as markdown

read_page
Read-only

Paid, $0.001 USDC on Base via x402 (page-read). Fetches one public web page now and returns clean markdown or text with title, canonical URL, published time and sha256. No JavaScript execution. Fetch failures and unreadable pages are not charged. Call without payment to get the x402 requirements.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic http(s) URL
linksNoinclude absolute link list
formatNo
paymentNoOptional. A signed x402 v2 PaymentPayload for this tool's PaymentRequired (as an object, or base64 as in the PAYMENT-SIGNATURE HTTP header). Prefer params._meta["x402/payment"]. Omit it to get the exact payment requirements first.
maxCharsNodefault 10000

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly, openWorld, non-destructive and non-idempotent, so the safety profile is covered. The description adds real value beyond them: no JavaScript execution, the fact that fetch failures and unreadable pages are not charged, and that a payment payload is required for a successful fetch. It does not contradict any annotation.

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?

Four dense sentences with no filler, and the cost/payment model is front-loaded so an agent immediately knows the price before committing. Slightly compressed wording, but every sentence carries information.

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?

With no output schema, the description carries the burden of describing returns and does so well (markdown/text, title, canonical URL, published time, sha256), plus failure and charging semantics. It omits what maxChars truncation or the links flag do to the result, a minor but real gap for a 5-parameter tool.

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 coverage is 80%, so the schema already documents url, links, format, payment and maxChars. The description reinforces format (markdown or text) and payment flow, but the payment guidance largely restates the schema's own note about params._meta['x402/payment'], and maxChars truncation behavior is left entirely to the schema. Baseline 3 applies.

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?

States a specific verb and resource ('Fetches one public web page now') plus the return shape (markdown/text with title, canonical URL, published time, sha256). It is clearly distinguishable from check_links or list_services, but it never names or contrasts with preview_page, the closest sibling, so sibling differentiation is incomplete.

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

Usage Guidelines4/5

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

Gives actionable flow guidance ('Call without payment to get the x402 requirements') and a scope limit ('No JavaScript execution'), which tells the agent when this tool will fail. It stops short of explicit when-not-to-use routing against preview_page or other siblings.

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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