scale_auto_scaling_group
Manually scale an auto-scaling group
This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/scale-auto-scaling-group.md
What scale_auto_scaling_group does on Claude MCP Server Ecosystem
AI agents invoke scale_auto_scaling_group to trigger actions in Claude MCP Server Ecosystem. 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.
Why scale_auto_scaling_group is rated High
This tool executes infrastructure-modifying operations on external cloud systems. While not destructive in the sense of permanent data loss, it triggers consequential external operations (instance creation/termination) whose effects depend on scaling parameters. The action is reversible but impacts live systems with potential service interruption, cost implications, and operational consequences.
From the tool's definition Tool name 'scale_auto_scaling_group' and description 'Manually scale an auto-scaling group' indicate triggering external infrastructure operations.
Attacks that exploit this kind of access
The rule that runs scale_auto_scaling_group safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Claude MCP Server Ecosystem, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For scale_auto_scaling_group, this is the rule to start with:
scale_auto_scaling_group 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every scale_auto_scaling_group call is checked against it from then on.
Questions about scale_auto_scaling_group
Manually scale an auto-scaling group. It is categorised as a Execute tool in the Claude MCP Server Ecosystem MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for scale_auto_scaling_group: 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 Claude MCP Server Ecosystem. Nothing to install.
scale_auto_scaling_group 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 scale_auto_scaling_group 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 scale_auto_scaling_group. 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.
scale_auto_scaling_group is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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