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Novarithm Agent Hub: SEO & GEO audits and business checks

seo_technical_audit

[PAID $0.02 USDC/call, x402, eip155:8453] Technical SEO audit of a URL: HTTPS and redirects, www duplicate, canonical, noindex, title/meta/H1, viewport, hreflang, Open Graph, sitemap and robots.txt, soft 404, response time, compression, images alt, schema.org, JS-only content. Score 0-100 + ranked fixes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPublic page URL or domain, e.g. https://www.example.com/ or example.com

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?

No annotations are provided, so the description carries the behavioral burden and does well: it discloses pricing ($0.02 USDC/call, x402, eip155:8453), the exact audit scope, and that the result includes a 0-100 score plus ranked fixes. It leaves implicit that the operation is read-only, but the audit nature makes that expectation clear.

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 description is dense but front-loaded: payment terms first, then purpose, then the checklist, then the output shape. Every clause carries information, though the long unbroken checklist makes it slightly less scannable than it could be.

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?

With no output schema, the description supplies the essential return shape ('Score 0-100 + ranked fixes') and enough scope detail for a one-parameter audit tool. The main missing piece is sibling differentiation, which belongs more to usage guidance than to completeness of the tool's own contract.

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?

The schema already documents the single url parameter at 100% coverage, including the public page URL or domain example. The description only says it audits 'a URL' and adds no syntax, format, or constraint details beyond what the schema provides, so the baseline of 3 applies.

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: 'Technical SEO audit of a URL', and enumerates concrete checks, so the purpose is unmistakable. However, it does not distinguish itself from the sibling seo_full_audit, so an agent cannot tell from the description alone which audit to choose.

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?

The phrase 'Technical SEO audit' implies the appropriate context, and the listed checks imply use for technical issues rather than content or local SEO. But there is no explicit when-to-use guidance and no mention of alternatives such as seo_full_audit, seo_keywords_content, or seo_local_presence.

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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