High Risk →

k8s__scale_deployment

Scale replicas with dry-run diff preview

Part of the Devops MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents invoke k8s__scale_deployment to trigger processes or run actions in Devops. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

k8s__scale_deployment can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-notharshhaa-devops-mcp.yaml
tools:
  k8s__scale_deployment:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Devops policy for all 11 tools.

Tool Name k8s__scale_deployment
Category Execute
MCP Server Devops MCP Server
Risk Level High

View all 11 tools →

Agents calling execute-class tools like k8s__scale_deployment have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

k8s__scale_deployment is one of the high-risk operations in Devops. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the k8s__scale_deployment tool do? +

Scale replicas with dry-run diff preview. It is categorised as a Execute tool in the Devops MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on k8s__scale_deployment? +

Add a rule in your Intercept YAML policy under the tools section for k8s__scale_deployment. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Devops MCP server.

What risk level is k8s__scale_deployment? +

k8s__scale_deployment is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit k8s__scale_deployment? +

Yes. Add a rate_limit block to the k8s__scale_deployment rule in your Intercept 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.

How do I block k8s__scale_deployment completely? +

Set action: deny in the Intercept policy for k8s__scale_deployment. 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.

What MCP server provides k8s__scale_deployment? +

k8s__scale_deployment is provided by the Devops MCP server (@notharshhaa/devops-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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