Delete multiple values from the cache.
AI agents call cache_delete_many to permanently remove resources in Amazon Redshift MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool performs destructive data removal by deleting multiple cached values at once. This is irreversible and cannot be undone. While the blast radius is limited to cache (not production data), the destructive nature and potential to remove many values simultaneously at the discretion of an AI agent makes this high severity.
From the tool's definition Tool name contains 'delete_many' and description states 'Delete multiple values from the cache.' This is an irreversible deletion operation that removes data.
Documented attack patterns abuse exactly the kind of access cache_delete_many gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_delete_many:
{
"version": "1",
"default": "deny",
"hide": [
"cache_delete_many"
]
} cache_delete_many 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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Delete multiple values from the cache. It is categorised as a Destructive tool in the Amazon Redshift MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for cache_delete_many: 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 Amazon Redshift MCP Server. Nothing to install.
cache_delete_many 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_delete_many 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_delete_many. 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_delete_many is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Redshift MCP Server, 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.
805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.