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MCP WordPress Server

MCP WordPress Server

by docdyhr
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

wp_seo_validate_schema

Ensure JSON-LD schema markup is correct and compliant by validating against expected schema types or Google's Rich Results Test API.

Instructions

Validate JSON-LD schema markup for correctness and compliance

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "schema": "<schema>"
    },
    "name": "wp_seo_validate_schema"
  }
}

Input Schema

NameRequiredDescriptionDefault
siteNoSite identifier for multi-site setups
schemaYesJSON-LD schema object to validate
schemaTypeNoExpected schema type for validation
useGoogleValidatorNoUse Google's Rich Results Test API for validation

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv3.3.23
  2. Removedv3.3.22
  3. Addedv3.3.8
  4. Removedv3.3.7
  5. Changed3 schema fields changedv3.3.4
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • removedInput schema / properties / schema / additionalProperties
      Removed value: -{}
    • removedInput schema / properties / schema / propertyNames
      Removed value: -{
-  "type": "string"
-}
  6. First observedv1.0.0

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description carries full responsibility for behavioral disclosure. It fails to mention whether the tool is read-only, has side effects, requires authentication, or any rate limits. The description only states the basic purpose.

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 7-word sentence with zero wasted words. It is front-loaded and efficient.

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

Completeness2/5

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

Given no annotations, no output schema, and parameters including a nested object, the description is too minimal. It does not explain return values, error handling, prerequisites, or the validation process.

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 input schema has 100% description coverage for all 4 parameters, so the baseline is 3. The tool description adds no additional parameter-level context beyond what the schema provides.

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?

The description 'Validate JSON-LD schema markup for correctness and compliance' uses a specific verb ('Validate') and clear resource ('JSON-LD schema markup'), and effectively distinguishes the tool from its sibling 'wp_seo_generate_schema'.

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 description implies usage context as a validation counterpart to generation tools like 'wp_seo_generate_schema', but it does not explicitly state when to use this tool versus alternatives or provide any exclusion criteria.

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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