AI agents invoke ExecuteRangeQuery to trigger actions in Awslabs Amazon Sns Sqs. 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.
Despite the empty description limiting full certainty, 'ExecuteRangeQuery' falls into the Execute category because it performs an operation (query execution) rather than simple retrieval. Query execution on messaging services or associated databases can have side effects depending on arguments.
From the tool's definition Tool name 'ExecuteRangeQuery' indicates execution of a query operation. The server context (SNS/SQS messaging) combined with 'Execute' and 'Query' terminology suggests this tool runs database or service queries whose side effects depend on query parameters.
Documented attack patterns abuse exactly the kind of access ExecuteRangeQuery gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Awslabs Amazon Sns Sqs, and nothing reaches the server without passing your rules. This is the rule we recommend for ExecuteRangeQuery:
{
"version": "1",
"default": "deny",
"tools": {
"ExecuteRangeQuery": {
"limits": [
{
"counter": "executerangequery_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ExecuteRangeQuery 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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ExecuteRangeQuery. It is categorised as a Execute tool in the Awslabs Amazon Sns Sqs MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Awslabs Amazon Sns Sqs MCP server in PolicyLayer and add a rule for ExecuteRangeQuery: 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 Awslabs Amazon Sns Sqs. Nothing to install.
ExecuteRangeQuery 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 ExecuteRangeQuery 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 ExecuteRangeQuery. 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.
ExecuteRangeQuery is provided by the Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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