Analyze mixed content from find.md and create an LLM prompt to categorize it into
AI agents use categorize_mixed_content to create or update resources in Adobe Commerce Support MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adobe Commerce Support MCP Server environment.
An AI agent can call categorize_mixed_content faster than any human can review — one bad instruction and it creates or modifies resources in Adobe Commerce Support MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Analyze mixed content from find.md and create an LLM prompt to categorize it into. It is categorised as a Write tool in the Adobe Commerce Support MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Adobe Commerce Support MCP Server MCP server in PolicyLayer and add a rule for categorize_mixed_content: 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 Adobe Commerce Support MCP Server. Nothing to install.
categorize_mixed_content is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the categorize_mixed_content 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 categorize_mixed_content. 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.
categorize_mixed_content is provided by the Adobe Commerce Support MCP Server MCP server (kavingas/mcp_support_server). 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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