batch-stop-update-action
AI agents invoke batch-stop-update-action to trigger actions in AWS Cloud Control API (CCAPI) 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.
With no description provided, classification relies on the tool name and server context. The 'batch-stop-update-action' terminology suggests this tool executes commands to halt in-progress update operations across multiple AWS resources. This is an Execute category risk because it triggers external AWS operations with real infrastructure effects, though confidence is moderate due to the empty description.
From the tool's definition Tool name 'batch-stop-update-action' indicates it performs an action (stop) on a batch of updates. AWS Cloud Control API enables management of AWS resources.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access batch-stop-update-action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Cloud Control API (CCAPI) MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for batch-stop-update-action:
{
"version": "1",
"default": "deny",
"tools": {
"batch-stop-update-action": {
"limits": [
{
"counter": "batch-stop-update-action_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} batch-stop-update-action 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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batch-stop-update-action. It is categorised as a Execute tool in the AWS Cloud Control API (CCAPI) MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Cloud Control API (CCAPI) MCP Server MCP server in PolicyLayer and add a rule for batch-stop-update-action: 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 Cloud Control API (CCAPI) MCP Server. Nothing to install.
batch-stop-update-action 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 batch-stop-update-action 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 batch-stop-update-action. 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.
batch-stop-update-action is provided by the AWS Cloud Control API (CCAPI) MCP Server MCP server (awslabs.ccapi-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Cloud Control API (CCAPI) 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 Cloud Control API (CCAPI) MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.