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page_markdown

A web page as clean Markdown for an LLM, rendered in a real browser (JavaScript runs); a failed render is not charged. $0.002 per call over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesthe http(s) page
paymentNoa signed x402 payment (the same base64 payload you would put in the PAYMENT-SIGNATURE header). Pass it here and the purchase completes inside this tool call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations supplied, the description carries the full burden and does disclose non-obvious behavior: JavaScript actually executes (real browser), a failed render is not billed, and the price is $0.002 per call over x402. It does not describe timeouts, page-size limits, or what a partial/failed render returns, which are relevant for a paid, browser-backed call.

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?

One densely packed sentence plus a short pricing clause; the output format and rendering behavior are front-loaded with no filler. Slightly telegraphic (the subject is implied rather than stated), but nothing is wasted.

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?

No output schema and no annotations, so the description has to cover safety, billing, and result shape. It covers billing and failure handling well but says nothing about the return payload beyond 'Markdown' — no size limits, no timeout, no indication of what a failed render yields. Adequate but with a clear gap for a paid 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 description coverage is 100%, so both url and payment are already documented in the schema, including the base64 PAYMENT-SIGNATURE detail. The description adds nothing param-specific beyond signalling that payment is per-call x402, so the baseline of 3 is correct.

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 names the concrete resource (a web page), the output format (clean Markdown for an LLM), and the mechanism (real browser with JavaScript). It is unambiguous as a noun-phrase statement of function, but it never contrasts itself with near-siblings such as page_extract, page_snap, web_read, or site_extract, so an agent cannot tell from the text alone which of those to pick.

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 explicit when-to-use guidance and no named alternative. The agent must infer that this is the JS-rendering Markdown option, but given the crowded set of page/site/web extraction siblings, an explicit routing statement (e.g. 'use instead of web_read when the page needs JS') is exactly what is missing.

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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