execute_log_insights_query
AI agents invoke execute_log_insights_query to trigger actions in AWS Well-Architected Security Assessment Tool 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.
This tool executes queries against AWS logs, which is an Execute-category action. Misuse could expose sensitive information from logs (PII, credentials, application state) or craft queries that cause performance issues. The severity is high due to potential access to sensitive operational data, though not critical since it typically cannot modify infrastructure directly.
From the tool's definition Tool name is 'execute_log_insights_query' which explicitly indicates execution of queries. AWS CloudWatch Logs Insights queries can access sensitive log data, perform aggregations, and trigger downstream actions.
Documented attack patterns abuse exactly the kind of access execute_log_insights_query gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Well-Architected Security Assessment Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_log_insights_query:
{
"version": "1",
"default": "deny",
"tools": {
"execute_log_insights_query": {
"limits": [
{
"counter": "execute_log_insights_query_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}execute_log_insights_query 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.
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execute_log_insights_query. It is categorised as a Execute tool in the AWS Well-Architected Security Assessment Tool MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Well-Architected Security Assessment Tool MCP Server MCP server in PolicyLayer and add a rule for execute_log_insights_query: 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 Well-Architected Security Assessment Tool MCP Server. Nothing to install.
execute_log_insights_query 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 execute_log_insights_query 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 execute_log_insights_query. 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.
execute_log_insights_query is provided by the AWS Well-Architected Security Assessment Tool MCP Server MCP server (awslabs.well-architected-security-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Well-Architected Security Assessment Tool 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 AWS Well-Architected Security Assessment Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.