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buy_fetch_scrape-links

Paid. Scrape every link on a public web page (absolute URLs). $0.002 USDC on Base or Solana. No account, no API key. Failed calls not charged. URL https://southpow.media/v1/scrape/links.

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": "buy_fetch_scrape-links"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesPage URL, http(s)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does most of the work: it discloses price ($0.002 USDC), accepted payment chains (Base or Solana), that no account or API key is needed, that failed calls are not charged, and that only public pages are supported. Missing only rate limits and return shape / link-count limits.

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 payment flag, then purpose, then price, then prerequisites – efficient fragment style with no filler. The trailing endpoint URL adds little for an agent that never constructs HTTP calls itself, which keeps it off a 5.

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?

For a single-argument, no-output-schema tool, the description covers the essentials an agent needs to decide and invoke: cost, auth requirements, billing on failure, and input restriction. Return details (JSON array vs list, deduplication) are the only notable gap and are lower stakes here.

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?

Only one parameter exists and schema coverage is 100%, so the schema already documents `url` as an http(s) page URL. The description reinforces the 'public web page' restriction, which is mild added value but nothing about format normalization or handling of relative-to-absolute conversion of results.

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 ('Scrape every link on a public web page') plus the output form (absolute URLs), which lets an agent distinguish it from the broader scrape/fetch siblings. It does not explicitly name the sibling it contrasts with (e.g. buy_fetch_scrape for full page content), so it stops short of a 5.

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 is only implied by 'every link on a public web page' – an agent can infer it should use this when it needs the link set rather than page text. There is no explicit when-not-to-use statement and no named alternative among buy_fetch_fetch, buy_fetch_fetch-html, or buy_fetch_scrape.

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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