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integrallis

RankCLI

by integrallis

seo_generate_schema

Generate JSON-LD structured data templates for article, product, FAQ, local business, and website pages. Provide site name, URL, and optional author or organization details to create schema markup ready for SEO and AI assistants.

Instructions

Generate JSON-LD structured data template for a page type (article, product, faq, local-business, website).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteUrlYesBase URL of the website
pageTypeYesType of page
siteNameYesName of the website
authorNameNoDefault author name (for articles)
organizationNameNoOrganization name

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.0.1

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It clearly indicates a non-destructive generation operation and the output is a template, but it does not describe return format details, whether anything is written, or any other behavioral nuances. This is adequate but minimal.

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?

The description is a single, front-loaded sentence that names the action, the deliverable, and the valid page types. Every word adds value, and there is no redundant or filler content.

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?

The tool is low-complexity, all parameters are documented in the schema, and the description identifies the output as a JSON-LD structured data template, which compensates for the lack of an output schema. It is complete enough for an agent to invoke the tool correctly, though it could have mentioned optional parameter behavior more explicitly.

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 100%, so the schema already fully documents all five parameters. The description repeats the page type enum values and adds no significant semantics beyond what the input schema provides, which meets the baseline for full schema coverage.

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 uses a specific verb ('Generate') and resource ('JSON-LD structured data template') and lists the supported page types, making the tool's function immediately clear. It does not explicitly differentiate from the sibling 'seo_structured_data', but the generation-focused wording distinguishes it enough for basic selection.

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?

The description provides no guidance on when to use this tool versus alternatives like 'seo_structured_data' or the other generation tools. There are no exclusions, prerequisites, or scenario-based usage hints beyond the implied purpose of generating structured data templates.

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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