Validate a React component against the active preset rules without modifying code. Returns a conformance score (0–100) and detailed issue list. Args: - code (string): React component source code - include_suggestions (boolean): Include info-level suggestions (default: true) Returns: - valid (bool...
AI agents call validate_ui 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.
This is a read-only analysis tool that queries/inspects React component code against design rules and returns validation results. It has no capability to modify, execute, delete, or create resources—only to retrieve conformance information. The 'include_suggestions' parameter controls output verbosity but does not alter any state.
From the tool's definition Tool performs validation without modifying code: 'Validate a React component against the active preset rules without modifying code.' Returns conformance data (score, issues, presetUsed) with no side effects.
Attacks that exploit this kind of access
Validate a React component against the active preset rules without modifying code. Returns a conformance score (0–100) and detailed issue list. Args: - code (string): React component source code - include_suggestions (boolean): Include info-level suggestions (default: true) Returns: - valid (boolean): No errors found - score (number): 0–100 conformance score - issues: Array of { severity, rule, message, fix } objects - presetUsed: Which preset was applied Requires 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 validate_ui: 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.
validate_ui 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 validate_ui 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 validate_ui. 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.
validate_ui 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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