Clear cached analysis results. Can clear all cache or filter by binary/project.
AI agents call cache_clear to permanently remove resources in Kawaiidra MCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Clearing a cache permanently removes stored analysis results. While the underlying binary data is unaffected and the cache can be rebuilt, the act of deletion is itself irreversible, placing this in the Destructive category. Severity is medium because the blast radius is limited to cached intermediate analysis artifacts rather than source data or financial systems.
From the tool's definition 'Clear cached analysis results' — clearing cache is irreversible; the cached data is permanently removed and cannot be recovered without re-running the analysis.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access cache_clear gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kawaiidra MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_clear:
{
"version": "1",
"default": "deny",
"hide": [
"cache_clear"
]
} cache_clear disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Clear cached analysis results. Can clear all cache or filter by binary/project. It is categorised as a Destructive tool in the Kawaiidra MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Kawaiidra MCP server in PolicyLayer and add a rule for cache_clear: 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 Kawaiidra MCP. Nothing to install.
cache_clear 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 cache_clear 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 cache_clear. 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.
cache_clear is provided by the Kawaiidra MCP server (wagonbomb/kawaiidra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kawaiidra MCP, 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.
94 Kawaiidra MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.