Analyze a natural language description to determine the type of AR experience and extract key entities
AI agents call analyze_ar_description to retrieve information from 8th Wall MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and interprets text input to extract structured information. It does not create, modify, delete, or execute any operations. It does not trigger external actions or manage financial transactions. The analysis is informational only, making it a Read category tool with low severity.
From the tool's definition The tool 'analyze_ar_description' performs analysis of natural language descriptions to 'determine the type of AR experience and extract key entities' — purely an information retrieval and parsing operation with no side effects.
Documented attack patterns abuse exactly the kind of access analyze_ar_description gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and 8th Wall MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_ar_description:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_ar_description": {}
}
}analyze_ar_description is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze a natural language description to determine the type of AR experience and extract key entities. It is categorised as a Read tool in the 8th Wall MCP Server MCP Server, which means it retrieves data without modifying state.
Register the 8th Wall MCP Server MCP server in PolicyLayer and add a rule for analyze_ar_description: 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 8th Wall MCP Server. Nothing to install.
analyze_ar_description 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 analyze_ar_description 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 analyze_ar_description. 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.
analyze_ar_description is provided by the 8th Wall MCP Server MCP server (superdwayne/8thwallmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from 8th Wall MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
64 8th Wall MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.