scale_service

Scale a service in a deployment

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/scale-service.md

WHAT IT DOES

What scale_service does on Claude MCP Server Ecosystem

AI agents invoke scale_service 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.

RISK

Why scale_service is rated High

Scaling a service executes a command that modifies infrastructure state in real-time. While not permanently destructive or financial, it has immediate side effects on running systems and can impact availability, performance, or costs. This is Execute rather than Write because it triggers an external operation (orchestration action) rather than simply creating/modifying data records.

From the tool's definition 'Scale a service in a deployment' indicates triggering operational changes to infrastructure resources, which is an external operation whose effects (resource allocation, availability, performance) depend on arguments like service name and scale parameters.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs scale_service 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_service, this is the rule to start with:

scale_service Rate-limited

scale_service 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "scale_service": {
      "limits": [
        {
          "counter": "scale_service_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every scale_service call is checked against it from then on.

FAQ

Questions about scale_service

What does the scale_service tool do? +

Scale a service in a deployment. 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.

How do I enforce a policy on scale_service? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for scale_service: 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.

What risk level is scale_service? +

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

Can I rate-limit scale_service? +

Yes. Add a rate_limit block to the scale_service 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.

How do I block scale_service completely? +

Set action: deny in the PolicyLayer policy for scale_service. 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 scale_service? +

scale_service 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.

KEEP EXPLORING

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