AI agents call clean_cache to permanently remove resources in Binary MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The name 'clean_cache' strongly implies deletion or purging of cached data, which would be an irreversible destructive action. However, the empty description lowers confidence significantly. In the context of a binary analysis server (Ghidra, x64dbg, WinDbg, ILSpyCmd), cache clearing could remove decompilation caches, analysis results, or session data.
From the tool's definition Tool name is 'clean_cache'; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access clean_cache gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Binary MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for clean_cache:
{
"version": "1",
"default": "deny",
"hide": [
"clean_cache"
]
}clean_cache disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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clean_cache. It is categorised as a Destructive tool in the Binary MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Binary MCP Server MCP server in PolicyLayer and add a rule for clean_cache: 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 Binary MCP Server. Nothing to install.
clean_cache is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the clean_cache 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 clean_cache. 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.
clean_cache is provided by the Binary MCP Server MCP server (sarks0/binary-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Binary 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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59 Binary MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.