AI agents call get_embed_code to retrieve information from Lordicon without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool generates/returns code snippets for embedding icons. It only produces output text (code) for the user to use — it does not execute, modify, delete, or transmit data anywhere. It is purely a read/query operation that returns a formatted string.
From the tool's definition Generate ready-to-use embed code for a Lordicon icon in HTML, React, or web component format
Attacks that exploit this kind of access
Generate ready-to-use embed code for a Lordicon icon in HTML, React, or web component format. It is categorised as a Read tool in the Lordicon MCP Server, which means it retrieves data without modifying state.
Register the Lordicon MCP server in PolicyLayer and add a rule for get_embed_code: 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 Lordicon. Nothing to install.
get_embed_code 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 get_embed_code 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 get_embed_code. 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.
get_embed_code is provided by the Lordicon MCP server (roandegraaf/lordicon-mcp). 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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