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JTruax

BOIM WordPress Stack MCP

by JTruax

generate_gb_styles

Create GenerateBlocks-specific SCSS styles for WordPress development by specifying block type, CSS selector, and style properties to compile into production-ready CSS.

Instructions

Generate GenerateBlocks-specific SCSS (compile to CSS for production)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
blockTypeYesBlock type (container, grid, headline, etc.)
selectorYesCSS selector
stylesYesSCSS properties and values (will be formatted as SCSS)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool generates SCSS for compilation to CSS, implying a read-only or generation operation, but it doesn't cover critical aspects like whether it modifies existing files, requires specific permissions, handles errors, or has rate limits. For a tool with three parameters and no annotations, 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.

Conciseness4/5

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

The description is a single, efficient sentence that front-loads the core purpose ('Generate GenerateBlocks-specific SCSS') and adds a clarifying note ('compile to CSS for production'). There's no wasted text, making it appropriately concise for the tool's complexity.

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 tool has three parameters, no annotations, and no output schema, the description is incomplete. It adequately explains the purpose but lacks usage guidelines, behavioral details (e.g., side effects, error handling), and output information. For a generation tool with multiple inputs, this leaves the agent with insufficient context to use it effectively.

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 documents all parameters (blockType, selector, styles) with clear descriptions. The description adds no additional meaning beyond implying the styles parameter is formatted as SCSS, which is somewhat redundant with the schema's 'SCSS properties and values' note. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the action ('Generate') and target ('GenerateBlocks-specific SCSS'), specifying it's for compilation to CSS in production. It distinguishes from siblings like 'generate_gb_block' or 'generate_gutenberg_block' by focusing on SCSS generation rather than block or template creation. However, it doesn't explicitly differentiate from all siblings, such as 'format_for_wpcodebox', which might involve similar code generation.

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. The description mentions 'compile to CSS for production', implying a production context, but it doesn't specify prerequisites, exclusions, or direct comparisons to siblings like 'generate_gb_block' or 'generate_gutenberg_block'. This leaves the agent without clear decision-making 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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