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vdalhambra

SiteAudit MCP

schema_validator

Read-only

Extract and validate Schema.org structured data (JSON-LD, microdata) from any URL. Returns validation hints and schema type breakdown to help achieve rich snippets in search results.

Instructions

Extract and validate Schema.org structured data (JSON-LD, microdata).

Returns all structured data found on the page with validation hints and a breakdown by schema type. Critical for rich snippets in SERPs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to check for structured data (Schema.org)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Description aligns with readOnlyHint annotation, explaining non-destructive extraction and validation. Adds detail on output structure (validation hints, type breakdown) beyond annotations.

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

Conciseness5/5

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

Two concise sentences, front-loaded with action and resource. Every word serves a purpose; no filler.

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

Completeness5/5

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

With output schema present, description covers intent and result structure adequately. No missing critical information for a single-parameter read-only tool.

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

Parameters4/5

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

Single parameter 'url' is well-described in schema ('URL to check for structured data (Schema.org)'). Description adds value by clarifying the tool processes the URL and returns structured data results.

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

Purpose5/5

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

Clearly states it extracts and validates Schema.org structured data, specifying formats (JSON-LD, microdata) and outcome (validation hints, breakdown by type). Distinct from sibling tools like seo_audit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly mentions relevance for rich snippets in SERPs, providing clear context. Does not specify when to avoid or name alternatives, but purpose is single and obvious.

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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