Scale a Kubernetes deployment to a specified replica count.
AI agents invoke ralph_hero__sre__scale to trigger actions in Ralph Hero. 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 infrastructure operations on a live Kubernetes cluster. While not destructive (scaling can be reversed), it actively modifies running systems and has significant blast radius — misconfigured scaling could cause service outages, resource exhaustion, or cascading failures.
From the tool's definition Tool performs 'Scale a Kubernetes deployment to a specified replica count' — a command that triggers external operations (Kubernetes API calls) whose effects depend on the replica count argument provided.
Attacks that exploit this kind of access
Scale a Kubernetes deployment to a specified replica count. It is categorised as a Execute tool in the Ralph Hero MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ralph Hero MCP server in PolicyLayer and add a rule for ralph_hero__sre__scale: 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 Ralph Hero. Nothing to install.
ralph_hero__sre__scale 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 ralph_hero__sre__scale 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 ralph_hero__sre__scale. 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.
ralph_hero__sre__scale is provided by the Ralph Hero MCP server (ralph-hero-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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