Delete a value from the cache.
AI agents call cache_delete to permanently remove resources in AWS Labs Amazon Kendra Index MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool performs a destructive operation by deleting cached data. While the blast radius may be limited depending on what data is stored in the cache, the deletion is irreversible. If an AI agent misuses this tool and deletes critical cached values needed for application functionality, it could cause service disruptions or data loss.
From the tool's definition The tool is named 'cache_delete' and the description explicitly states 'Delete a value from the cache.' The use of 'Delete' indicates an irreversible removal operation.
Documented attack patterns abuse exactly the kind of access cache_delete gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs Amazon Kendra Index MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_delete:
{
"version": "1",
"default": "deny",
"hide": [
"cache_delete"
]
} cache_delete disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Delete a value from the cache. It is categorised as a Destructive tool in the AWS Labs Amazon Kendra Index MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the AWS Labs Amazon Kendra Index MCP Server MCP server in PolicyLayer and add a rule for cache_delete: 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 Labs Amazon Kendra Index MCP Server. Nothing to install.
cache_delete 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 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. 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 is provided by the AWS Labs Amazon Kendra Index MCP Server MCP server (awslabs.amazon-kendra-index-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs Amazon Kendra Index 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 AWS Labs Amazon Kendra Index MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.