AI agents use create_api_cache to create or update resources in Amazon Redshift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Redshift MCP Server environment.
The 'create' prefix signals data/resource creation. Without additional context about what this cache stores or how it integrates with Redshift queries, Write is the most conservative classification. If this cache could be used to execute queries or modify data, severity could be higher, but creation alone suggests medium severity.
From the tool's definition Tool name 'create_api_cache' indicates creation of a cache resource. The description is empty, but the 'create' action is characteristic of Write operations that establish new reversible resources.
Documented attack patterns abuse exactly the kind of access create_api_cache 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 create_api_cache:
{
"version": "1",
"default": "deny",
"tools": {
"create_api_cache": {
"limits": [
{
"counter": "create_api_cache_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_api_cache stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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create_api_cache. It is categorised as a Write tool in the Amazon Redshift MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for create_api_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 Amazon Redshift MCP Server. Nothing to install.
create_api_cache is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_api_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 create_api_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.
create_api_cache 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.
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805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.