clear_cache
Clear the cache on the PengStrike AI server.
This record as markdown: /tools/pengstrike-mcp/clear-cache.md
What clear_cache does on Pengstrike
AI agents call clear_cache to permanently remove resources in Pengstrike, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why clear_cache is rated Critical
An AI agent that decides to call clear_cache doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Pengstrike is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs clear_cache safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pengstrike, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For clear_cache, this is the rule to start with:
clear_cache is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Pengstrike, apply this rule, and every clear_cache call is checked against it from then on.
Questions about clear_cache
Clear the cache on the PengStrike AI server. It is categorised as a Destructive tool in the Pengstrike MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Pengstrike MCP server in PolicyLayer and add a rule for clear_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 Pengstrike. Nothing to install.
clear_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 clear_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 clear_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.
clear_cache is provided by the Pengstrike MCP server (wangqiongpeng/pengstrike-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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