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pageaudit__trends

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/trends

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__trends"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2.2/5.0
Behavior3/5

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

With no annotations, the description does carry real behavioral weight by disclosing the cost ($0.01 USDC on Base, eip155:8453), the payment channel (params._meta['x402/payment']), and the HTTP verb/endpoint. That is genuinely useful beyond the schema. However, it says nothing about what trend data is returned, over what window, or what happens when the optional url is omitted, so the core behavior remains opaque.

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 short but misallocated: a long feature catalog for the whole server precedes a tool-specific detail. Almost none of the sentences earn their place in a definition for a single 'trends' endpoint, and the most important information (what this tool returns) is absent.

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?

With one undocumented optional parameter, no output schema, and no annotations, the description should explain what the tool returns and how url affects it. Instead it supplies pricing and transport details while leaving purpose and return shape unstated, so the definition is not sufficient to invoke the tool confidently.

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

Parameters2/5

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

Schema description coverage is 0% for the single optional 'url' parameter, and the description never mentions it. It is unclear whether url scopes the trend series to one page or is ignored, and an agent must guess whether to pass it at all.

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 is a marketplace pitch enumerating the whole product family (audit, SEO, preflight, batch, monitoring, seller search, demand data) rather than stating what 'trends' itself does. The word 'trends' never appears, and the closest hint — 'real 30-day paid-usage demand data for the x402 market' — is more plausibly the sibling pageaudit__demand. An agent cannot tell from this text what resource this tool returns.

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 guidance, no exclusions, and no routing to alternatives such as pageaudit__demand or pageaudit__watch, which the description's own capability list overlaps with. The only operational instruction is how to pay, not when to select this tool.

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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