AI agents call mcp_gemini_context_delete_cache to permanently remove resources in Gemini Context MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
An AI agent that decides to call mcp_gemini_context_delete_cache doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Gemini Context MCP Server is gone — there is no undo for destructive operations.
Documented attack patterns abuse exactly the kind of access mcp_gemini_context_delete_cache gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Context MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for mcp_gemini_context_delete_cache:
{
"version": "1",
"default": "deny",
"hide": [
"mcp_gemini_context_delete_cache"
]
} mcp_gemini_context_delete_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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Deletes a cache. It is categorised as a Destructive tool in the Gemini Context MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Gemini Context MCP Server MCP server in PolicyLayer and add a rule for mcp_gemini_context_delete_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 Gemini Context MCP Server. Nothing to install.
mcp_gemini_context_delete_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 mcp_gemini_context_delete_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 mcp_gemini_context_delete_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.
mcp_gemini_context_delete_cache is provided by the Gemini Context MCP Server MCP server (ogoldberg/gemini-context-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 12 Gemini Context MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
12 Gemini Context MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.