aplicar_scaling

Publica um comando de scaling (scale up/down/restart) de workers.

SERVERMCP Officegest SOURCErubencodex86/officegest-api-v2-mcp

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/rubencodex86-officegest-api-v2-mcp/aplicar-scaling.md

WHAT IT DOES

What aplicar_scaling does on MCP Officegest

AI agents invoke aplicar_scaling to trigger actions in MCP Officegest. 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 aplicar_scaling is rated High

This tool executes external operations that control worker infrastructure. Scaling operations can disrupt service availability, cause downtime, or trigger resource reallocation with immediate effects. While not financial or destructive of data, the blast radius is significant: an AI agent invoking this carelessly could scale down production workers, causing outages.

From the tool's definition 'Publica um comando de scaling (scale up/down/restart) de workers' – directly triggers infrastructure operations (scale up, scale down, restart) on worker processes.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs aplicar_scaling safely

PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Officegest, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aplicar_scaling, this is the rule to start with:

aplicar_scaling Rate-limited

aplicar_scaling 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": {
    "aplicar_scaling": {
      "limits": [
        {
          "counter": "aplicar_scaling_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 MCP Officegest, apply this rule, and every aplicar_scaling call is checked against it from then on.

FAQ

Questions about aplicar_scaling

What does the aplicar_scaling tool do? +

Publica um comando de scaling (scale up/down/restart) de workers. It is categorised as a Execute tool in the MCP Officegest MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on aplicar_scaling? +

Register the MCP Officegest MCP server in PolicyLayer and add a rule for aplicar_scaling: 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 MCP Officegest. Nothing to install.

What risk level is aplicar_scaling? +

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

Can I rate-limit aplicar_scaling? +

Yes. Add a rate_limit block to the aplicar_scaling 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 aplicar_scaling completely? +

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

aplicar_scaling is provided by the MCP Officegest MCP server (rubencodex86/officegest-api-v2-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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