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

Broken link checker

broken_links
Read-onlyIdempotent

Extract links from a page and check up to 12 of them (HEAD, GET fallback): status, redirects, latency, broken list. Free: 10 calls/day; then $0.003/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": "broken_links"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYespage URL
limitNo1-12
scopeNoall | internal | external

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
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. Beyond that the description adds real operational detail: HEAD requests with GET fallback, a hard 12-link ceiling, the returned signals (status, redirects, latency, broken list), and the quota/payment mechanics including the x402 _meta key and X-API-Key credits. It does not describe failure behavior when a URL is unreachable or the page itself cannot be fetched, which keeps it off a 5.

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 behavior is front-loaded in the first clause, with pricing and payment mechanics trailing where an agent can skim them. It is a single dense sentence plus a billing sentence, with no filler. The payment sentence is long, but quota and payment details are genuinely needed before calling a paid tool.

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 values need not be re-explained, and the description still enumerates the key result fields. Quota limits, payment channels and the request method are all covered for a three-parameter read tool. The remaining gap is error/partial-failure behavior, which matters for a network-checking tool that may see timeouts.

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 url, limit (1-12) and scope (all | internal | external) are already documented, and the enum-like scope values are spelled out in the schema examples. The description only reinforces the 12-item cap already implied by the limit parameter and adds nothing about how scope interacts with the broken-link list. Baseline 3 is appropriate when the schema carries the parameter burden.

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 gives a concrete verb and resource chain: extract links from a page, then check up to 12 of them with HEAD and a GET fallback, returning status, redirects, latency and a broken list. That is far more specific than a tautology and implicitly separates it from pure-parsing siblings like http_link_parse by adding liveness checking. It stops short of naming any sibling to contrast against, so it is clear but not fully differentiated.

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

Usage Guidelines3/5

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

Usage context is implied rather than stated: 'check up to 12 of them' and the 10 calls/day free quota tell the agent this is a small-batch, quota-limited operation. There is no explicit when-to-use/when-not-to-use guidance and no named alternative for larger batches or for parsing links without checking them. An agent can infer the fit, but must do the reasoning itself.

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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