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

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feed_parse
Read-onlyIdempotent

Parse a feed (or autodiscover it from a web page) into clean JSON: title, latest items with link, date and summary. Free: 10 calls/day; then $0.002/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": {
      "url": "<url>"
    },
    "name": "feed_parse"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesfeed or page URL
limitNoitems 1-50

Output Schema

NameRequiredDescriptionDefault

No arguments

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, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuine context beyond that: a free tier of 10 calls/day, a per-call price after that, and two payment/auth mechanisms (x402 via params._meta or X-API-Key credits). It does not describe what happens when the quota is exhausted or how errors surface.

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 core capability is front-loaded in a single dense sentence, with pricing and auth details following. The payment sentence is somewhat information-heavy but every part of it is operationally relevant to the caller.

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 explanation is not required, though the description helpfully summarizes the shape anyway. Given a two-parameter read-only tool, the combination of input modes, rate limits and auth covers what an agent needs; only failure/quota-exhaustion behavior 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?

Schema coverage is 100% and both parameters carry descriptions and examples, so the schema does the heavy lifting. The description only loosely implies the limit via 'latest items' and adds no syntax or format detail beyond the schema.

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 a specific verb and resource ('parse a feed') and enumerates the return payload (title, items with link, date, summary), which lets an agent distinguish it from generic converters like xml_json_convert or sitemap_parse. It stops short of naming any sibling explicitly, so no credit for direct sibling differentiation.

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?

It states both accepted input modes — a direct feed URL or a web page to autodiscover from — which is concrete guidance an agent needs to choose inputs correctly. There is no explicit when-not-to-use guidance or mention of when an alternative converter would be preferable.

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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