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x402 agent toolkit: service finder, payment safety, Solana & web tools

Markdown → HTML

markdown_to_html
Read-onlyIdempotent

Render GitHub-flavored Markdown to HTML with raw HTML escaped and script URLs removed; also returns the heading outline. Free: 10 calls/day; then $0.001/call via x402 (MCP params._meta["x402/payment"] or HTTP) or X-API-Key credits. [served by tools.moneytools.dev]

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": {
      "markdown": "<markdown>"
    },
    "name": "markdown_to_html"
  }
}

Input Schema

NameRequiredDescriptionDefault
markdownYesMarkdown text

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior5/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the bar is lower, yet the description still adds substantive behavior: raw HTML is escaped and script URLs are stripped (a sanitization guarantee an agent must know), and a heading outline is returned alongside the HTML. It also discloses concrete rate limits and the two payment paths (x402 via params._meta["x402/payment"] or HTTP, or X-API-Key credits), which are critical operational facts not encoded anywhere else.

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?

Front-loaded with the verb, resource, and sanitization semantics in the first clause, followed by output and cost. The pricing sentence is long but operationally necessary; the trailing '[served by tools.moneytools.dev]' is minor filler.

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?

An output schema exists, so return-value documentation is not required, and the description still flags the heading outline. Sanitization, cost, and payment mechanics are all covered; only comparative guidance against sibling conversion tools is missing.

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?

With a single 'markdown' parameter at 100% schema coverage, the schema already carries the meaning and provides an example. The description adds no syntax, size, or dialect constraints beyond 'GitHub-flavored', so the baseline of 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 concrete verb and resource ('Render GitHub-flavored Markdown to HTML') plus two distinguishing behaviors (raw HTML escaped, script URLs removed) and a secondary output (heading outline). The inverse relationship to the sibling html_to_markdown is obvious from the name, but the description never names an alternative explicitly.

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 when-to-use or when-not-to-use guidance, and no routing signal versus siblings such as html_to_markdown or web_read_markdown. The 'GitHub-flavored' qualifier implies a dialect scope, but that is inferred rather than stated as usage 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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