AI agents call describe_services to retrieve information from Amazon Redshift MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'describe_*' naming convention in AWS APIs conventionally retrieves and returns metadata or configuration details without modifying resources. However, confidence is moderate (0.7) rather than high because the description field is empty, limiting definitive classification.
From the tool's definition Tool name 'describe_services' indicates a query operation that retrieves information about services; typical AWS Redshift/service operations with 'describe' prefix are read-only data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access describe_services 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 describe_services:
{
"version": "1",
"default": "deny",
"tools": {
"describe_services": {}
}
}describe_services is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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describe_services. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for describe_services: 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.
describe_services is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the describe_services 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 describe_services. 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.
describe_services 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.