This record as markdown: /tools/aws/cache-delete-many.md
What cache_delete_many does on AWS
AI agents call cache_delete_many to permanently remove resources in AWS, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why cache_delete_many is rated Critical
This tool permanently removes cached data without reversibility. While the blast radius is limited to cache (not primary data), the destructive nature of deletion and inability to undo the operation places it in the Destructive category, which takes precedence over Write.
From the tool's definition Tool name 'cache_delete_many' and description 'Delete multiple values from the cache' indicate irreversible deletion of data. The operation cannot be undone.
Attacks that exploit this kind of access
The rule that runs cache_delete_many safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For cache_delete_many, this is the rule to start with:
cache_delete_many 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 AWS, apply this rule, and every cache_delete_many call is checked against it from then on.
Questions about cache_delete_many
Delete multiple values from the cache. Args: keys: List of keys to delete Returns: Success message or error message. It is categorised as a Destructive tool in the AWS MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS 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 AWS. 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 AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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