gemini_delete_cache_tool

Delete a content cache.

Server MCP Gemini mcp-gemini-crunchtools
Category Destructive
Risk class Critical
Parameters 00 required

What gemini_delete_cache_tool does on MCP Gemini

AI agents call gemini_delete_cache_tool to permanently remove resources in MCP Gemini — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why gemini_delete_cache_tool needs a policy

This tool performs an irreversible deletion operation on cached content. Deletion cannot be undone, making it destructive rather than merely write-level. The high severity reflects the risk that an AI agent could permanently remove important cached data, such as compiled results, processed documents, or memoized computation results that the system depends on.

From the tool's definition Tool name contains 'delete' and description states 'Delete a content cache.' The verb 'delete' is explicitly destructive and irreversible.

Questions about gemini_delete_cache_tool

What does the gemini_delete_cache_tool tool do? +

Delete a content cache. It is categorised as a Destructive tool in the MCP Gemini MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on gemini_delete_cache_tool? +

Register the MCP Gemini MCP server in PolicyLayer and add a rule for gemini_delete_cache_tool: 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 MCP Gemini. Nothing to install.

What risk level is gemini_delete_cache_tool? +

gemini_delete_cache_tool is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit gemini_delete_cache_tool? +

Yes. Add a rate_limit block to the gemini_delete_cache_tool 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.

How do I block gemini_delete_cache_tool completely? +

Set action: deny in the PolicyLayer policy for gemini_delete_cache_tool. 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.

What MCP server provides gemini_delete_cache_tool? +

gemini_delete_cache_tool is provided by the MCP Gemini MCP server (mcp-gemini-crunchtools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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