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RankOrg

Free Tools MCP

by RankOrg

Schema Markup Generator

schema_markup_generator
Read-only

Generate JSON-LD structured data for articles, FAQs, organizations, local businesses, or products to improve search engine understanding and rich results.

Instructions

Generate JSON-LD structured data for Article, FAQPage, Organization, LocalBusiness or Product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markupYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context of its own: nothing about what the returned JSON-LD looks like, whether it is validated against schema.org, or where it should be embedded.

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?

One sentence, front-loaded with the verb and the payload format, and the type list is compressed into a single enumeration. No filler.

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

Completeness3/5

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

For a single-parameter generator whose schema already encodes the five shapes, the essentials are present, but with no output schema the description should say what is produced (raw JSON-LD vs. a script tag) and how it should be used. That gap keeps it at minimum-viable.

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?

Schema description coverage is 0%, so the description must compensate, and it partially does by naming the five type values that act as the oneOf discriminator. However, it says nothing about the per-variant required fields (e.g., Article needs headline/author/datePublished, Product needs price/currency), leaving the caller to read the required arrays.

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?

The description states a specific verb ('Generate') and resource ('JSON-LD structured data') and enumerates the five supported schema.org types, which cleanly separates it from siblings like open_graph_generator and meta_tag_generator. It stops short of an explicit sibling callout, which keeps it out of the top band.

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 prerequisites, and no alternative named (e.g., when to prefer open_graph_generator or meta_tag_generator instead). The SEO-tool context implies the usage but the description itself offers nothing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.