extract_design_tokens

SERVERElementify MCP SOURCEvamerli/elementify-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/vamerli-elementify-mcp/extract-design-tokens.md

WHAT IT DOES

What extract_design_tokens does on Elementify MCP

AI agents call extract_design_tokens to retrieve information from Elementify MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why extract_design_tokens is rated Low

Even though extract_design_tokens only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs extract_design_tokens safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Elementify MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For extract_design_tokens, this is the rule to start with:

extract_design_tokens Allowed

extract_design_tokens is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "extract_design_tokens": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Elementify MCP, apply this rule, and every extract_design_tokens call is checked against it from then on.

FAQ

Questions about extract_design_tokens

What does the extract_design_tokens tool do? +

Extract a heuristic design-token report from Elementor global styles plus current site assessment. Returns color and typography tokens from the active Elementor Kit and derives spacing, radius, and shadow hints conservatively. It is categorised as a Read tool in the Elementify MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_design_tokens? +

Register the Elementify MCP server in PolicyLayer and add a rule for extract_design_tokens: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Elementify MCP. Nothing to install.

What risk level is extract_design_tokens? +

extract_design_tokens is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit extract_design_tokens? +

Yes. Add a rate_limit block to the extract_design_tokens rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block extract_design_tokens completely? +

Set action: deny in the PolicyLayer policy for extract_design_tokens. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides extract_design_tokens? +

extract_design_tokens is provided by the Elementify MCP server (vamerli/elementify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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