Executes a read-only SELECT query against the database - args: keyspace, query
AI agents invoke executeQuery to trigger actions in CloudWatch Application Signals 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.
Although the tool is documented as read-only, it executes arbitrary database queries dynamically based on user-supplied arguments. This falls under Execute rather than Read because the tool involves runtime evaluation of query logic that could have side effects depending on database state, triggers, or functions embedded in the query.
From the tool's definition Tool name 'executeQuery' and description 'Executes a read-only SELECT query against the database' indicate execution of arbitrary database queries.
Documented attack patterns abuse exactly the kind of access executeQuery gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CloudWatch Application Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for executeQuery:
{
"version": "1",
"default": "deny",
"tools": {
"executeQuery": {
"limits": [
{
"counter": "executequery_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}executeQuery 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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Executes a read-only SELECT query against the database - args: keyspace, query. It is categorised as a Execute tool in the CloudWatch Application Signals MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the CloudWatch Application Signals MCP Server MCP server in PolicyLayer and add a rule for executeQuery: 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 CloudWatch Application Signals MCP Server. Nothing to install.
executeQuery 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 executeQuery 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 executeQuery. 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.
executeQuery is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CloudWatch Application Signals 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 CloudWatch Application Signals MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.