AI agents call get_module to retrieve information from Deobfuscate MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves pre-existing module code from a cache based on a module identifier. It performs no side effects, does not execute code, does not modify data, and does not delete or create resources. It is a straightforward Read operation with minimal risk when used by an AI agent, as the worst outcome would be accessing information about code structure that is already in the cache.
From the tool's definition Tool name 'get_module' and description 'Gets code for specific module ID from cache' indicate a retrieval operation with no modification or execution capability.
Documented attack patterns abuse exactly the kind of access get_module gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Deobfuscate MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_module:
{
"version": "1",
"default": "deny",
"tools": {
"get_module": {}
}
}get_module is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets code for specific module ID from cache. It is categorised as a Read tool in the Deobfuscate MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Deobfuscate MCP Server MCP server in PolicyLayer and add a rule for get_module: 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 Deobfuscate MCP Server. Nothing to install.
get_module 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_module 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_module. 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_module is provided by the Deobfuscate MCP Server MCP server (madebytokens/deobfuscate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Deobfuscate MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Deobfuscate MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.