Analyzes the performance characteristics of a CQL query - args: keyspace, query
AI agents invoke analyzeQueryPerformance to trigger actions in AWS Support MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool runs a CQL query analysis against a specified keyspace, which involves executing or inspecting a query. This goes beyond a simple read as it performs active analysis/execution of query logic. The severity is medium since it could expose schema details or cause load on the database, but does not appear to write or delete data.
From the tool's definition 'Analyzes the performance characteristics of a CQL query' - executes a query analysis operation against a keyspace with a provided query string
Documented attack patterns abuse exactly the kind of access analyzeQueryPerformance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Support MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyzeQueryPerformance:
{
"version": "1",
"default": "deny",
"tools": {
"analyzeQueryPerformance": {
"limits": [
{
"counter": "analyzequeryperformance_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}analyzeQueryPerformance stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Analyzes the performance characteristics of a CQL query - args: keyspace, query. It is categorised as a Execute tool in the AWS Support MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Support MCP Server MCP server in PolicyLayer and add a rule for analyzeQueryPerformance: 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 Support MCP Server. Nothing to install.
analyzeQueryPerformance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the analyzeQueryPerformance 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 analyzeQueryPerformance. 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.
analyzeQueryPerformance is provided by the AWS Support MCP Server MCP server (awslabs.aws-support-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Support 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 Support MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.