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JTruax

BOIM WordPress Stack MCP

by JTruax

generate_block_pattern

Create reusable Gutenberg block patterns for WordPress by providing title, content, categories, and keywords to standardize design elements across your site.

Instructions

Generate a Gutenberg block pattern

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesPattern title
descriptionNoPattern description
contentYesBlock markup content
categoriesNoPattern categories
keywordsNoPattern keywords
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It states 'generate' which implies a creation/write operation, but doesn't specify what happens after generation (e.g., where the pattern is saved, if it requires specific permissions, or if it's idempotent). For a tool with no annotations and likely mutation behavior, this is a significant gap in transparency.

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, efficient sentence with zero waste. It's appropriately sized for a tool with good schema coverage and gets straight to the point without unnecessary elaboration, making it easy to parse quickly.

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 the complexity (a generation tool likely involving mutation), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the tool returns, error conditions, or behavioral nuances. For a tool with 5 parameters and no structured safety hints, more context is needed to guide effective use.

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%, with all 5 parameters well-documented in the schema itself. The description adds no additional meaning about parameters beyond what's in the schema (e.g., no examples, format details, or constraints). Baseline 3 is appropriate when the schema does the heavy lifting, but the description doesn't compensate or enhance understanding.

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

Purpose3/5

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

The description 'Generate a Gutenberg block pattern' states the basic action (generate) and resource (Gutenberg block pattern), but it's vague about what this actually produces. It doesn't distinguish from sibling tools like 'generate_gutenberg_block' or 'generate_gb_template', leaving ambiguity about what specifically differentiates a 'block pattern' from other Gutenberg-related outputs.

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?

No guidance is provided on when to use this tool versus alternatives. With multiple sibling tools for Gutenberg/generation (e.g., generate_gutenberg_block, generate_gb_template, generate_block_variation), the description offers no context about appropriate use cases, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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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