Skip to main content
Glama
vola-trebla

tailwind-context-resolver-mcp

by vola-trebla

simulate_jit_compilation

Validates Tailwind utility classes by compiling them through the JIT engine and returns the generated CSS rules. Supports arbitrary values, modifiers, and custom plugin classes.

Instructions

Validates Tailwind utility classes against the JIT engine by programmatically compiling them. Supports complex arbitrary values, JIT modifiers, and custom plugin classes. Returns the generated CSS rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
css_pathNoOptional path to the project's CSS entry file (for Tailwind v4 custom theme styles)
config_pathNoOptional path to tailwind.config.js/ts (for Tailwind v3 custom configs)
class_stringYesSpace-separated Tailwind class string to compile
Behavior3/5

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

With no annotations, the description must carry the full burden. It discloses that compilation occurs and that generated CSS rules are returned, but it does not address failure modes, side effects, file existence requirements, or whether the operation is non-mutating. The 'Validates' wording hints at a safe read-only behavior, but this is not confirmed.

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 three sentences, front-loaded with the core action, followed by supported features and return value. No unnecessary words or repetition. It is concise and well-structured.

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 description covers purpose, supported cases, and return value. Since there is no output schema, the explicit mention of generated CSS rules is helpful. It does not address edge cases or error handling, but for a 3-parameter tool with fully documented schema, it is sufficiently complete.

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 coverage is 100% with descriptions for all three parameters. The description adds context about supported features (arbitrary values, JIT modifiers, custom plugin classes) but does not add per-parameter semantics beyond what the schema already provides. Therefore, baseline 3 is appropriate.

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 uses a specific verb 'Validates' and 'compiling' with a clear resource ('Tailwind utility classes against the JIT engine'). It distinguishes from sibling validate_class_string by emphasizing programmatic compilation and the generation of CSS rules, making its unique role clear.

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 for validating and compiling Tailwind classes but does not explicitly state when to prefer it over alternatives like validate_class_string or when not to use it. No exclusions or alternate tool references are provided, so guidance is only implicit.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vola-trebla/tailwind-context-resolver-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server