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On-page SEO audit of a URL

seo_audit
Read-only

On-page SEO audit of a URL. Audit page. On-page SEO audit of any URL in one call: score 0-100 and a clear list of issues (title, meta description, H1, canonical, noindex, alt texts, lang, viewport, Open Graph, thin content, speed, HTTPS).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesPage URL (e.g. https://example.com)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), and the description adds that the whole audit happens 'in one call' and returns a 0-100 score plus an issue list. That output shape is meaningful since there is no output schema, though nothing is said about auth, rate limits, or failure behavior for unreachable URLs.

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

Conciseness3/5

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

The core sentence is front-loaded and information-dense, but 'On-page SEO audit of a URL' is repeated from the title and again in the body, and the fragment 'Audit page.' adds nothing. Roughly a third of the text is redundant restatement.

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 usefully states what comes back (score 0-100, list of issues) and enumerates the checks, which is sufficient for a single-parameter read-only tool. It stops short of describing scoring methodology or issue severity, but nothing essential to invocation is missing.

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?

One parameter with 100% schema description coverage, so the schema already documents the url input including an example. The description adds no format, scheme, or edge-case guidance beyond that, which is the expected baseline when the schema does the heavy lifting.

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?

Specific verb+resource ('On-page SEO audit of a URL') plus an enumeration of the exact checks performed (title, meta, H1, canonical, noindex, alt text, lang, viewport, OG, thin content, speed, HTTPS). This clearly separates it from generic siblings like check_url_status or website_technologies, though it never names those alternatives directly.

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 implied by the checklist of checks, so an agent can infer this is the comprehensive page-level SEO pass rather than a single-signal probe. However, there is no explicit when-to-use, when-not-to-use, or routing to siblings such as security_headers_check or check_url_status.

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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