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pageaudit__newsellers

Web page intelligence for agents: page audit, SEO metadata, URL liveness preflight, batch x402 endpoint vetting, change monitoring, x402 seller search, and real 30-day paid-usage demand data for the x402 market. Price: $0.01 per call in USDC on Base (eip155:8453), paid with x402 in params._meta["x402/payment"]. HTTP: GET https://api.firstmention.uk/s/pageaudit/newsellers

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "pageaudit__newsellers"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden; it does disclose genuinely useful behavioral facts - price ($0.01 USDC on Base), the x402 payment mechanism via params._meta['x402/payment'], and the HTTP endpoint/method. However it says nothing about what the operation actually returns or does for 'newsellers', which is the core behavior gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is one long run-on sentence enumerating unrelated product capabilities, front-loaded with a generic 'Web page intelligence for agents' rather than the tool's own function. The payment/endpoint facts are useful but buried at the end of a feature dump.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations mean the description must explain returns and behavior, but it does neither for this endpoint. It never says whether 'newsellers' returns newly discovered x402 sellers, a list, a count, or a fresh-demand feed, nor how 'url' affects the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single 'url' parameter is never mentioned in the description. No meaning is added - an agent cannot tell whether url is required, what form it takes, or whether omitting it is valid (it is technically optional).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description never states what 'newsellers' itself does; it lists an entire API suite (page audit, SEO metadata, preflight, batch vetting, monitoring, seller search, demand data).'Newsellers' is not even mentioned in the text, so an agent cannot tell this tool apart from siblings like sellersearch, demand, or audit.

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?

No when-to-use or when-not-to-use guidance is given, and no alternative is named for any of the listed capabilities. The laundry list implies many jobs but provides no routing signal for picking this tool over its siblings.

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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