Export the active preset
AI agents call generate_tokens to retrieve information from UI Preset MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Exporting/reading the active preset is a read/retrieval operation with no side effects. It generates output from existing data without modifying any state. Severity is low as misuse only exposes design token configuration.
From the tool's definition 'Export the active preset' — retrieves and exports the current preset configuration as tokens (CSS, Tailwind, or JavaScript variables)
Attacks that exploit this kind of access
Export the active preset. It is categorised as a Read tool in the UI Preset MCP Server MCP Server, which means it retrieves data without modifying state.
Register the UI Preset MCP Server MCP server in PolicyLayer and add a rule for generate_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 UI Preset MCP Server. Nothing to install.
generate_tokens is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the generate_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.
Set action: deny in the PolicyLayer policy for generate_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.
generate_tokens is provided by the UI Preset MCP Server MCP server (ncsound919/og-glass). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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