Returns a paginated list of class names. Params: - limit: Max number of classes to return (default 250) - offset: Starting index of class list
AI agents call list_all_classes to retrieve information from Jadx 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 straightforward read operation that lists metadata (class names) from a decompiled Java/Android application. It has no side effects, does not execute code, does not modify data, and does not trigger external operations. The tool is purely informational and aligns with the 'list' operation category under Read.
From the tool's definition Tool returns a paginated list of class names with no modification, deletion, or execution capability. Description explicitly states 'Returns' (retrieval only) with pagination parameters (limit, offset) typical of query operations.
Documented attack patterns abuse exactly the kind of access list_all_classes gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jadx MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_all_classes:
{
"version": "1",
"default": "deny",
"tools": {
"list_all_classes": {}
}
}list_all_classes is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Returns a paginated list of class names. Params: - limit: Max number of classes to return (default 250) - offset: Starting index of class list. It is categorised as a Read tool in the Jadx MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Jadx MCP Server MCP server in PolicyLayer and add a rule for list_all_classes: 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 Jadx MCP Server. Nothing to install.
list_all_classes 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 list_all_classes 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 list_all_classes. 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.
list_all_classes is provided by the Jadx MCP Server MCP server (mobilehackinglab/jadx-mcp-plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jadx 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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13 Jadx MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.