Obtém o estado de autoscaling do Queue master.
AI agents call estado_autoscale_queue to retrieve information from MCP Officegest without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves the current autoscaling state of the Queue master without modifying anything. 'Obtém' is Portuguese for 'obtains/gets', indicating a read-only operation. Low severity as it only exposes system status information.
From the tool's definition 'Obtém o estado' means 'Gets the state' - this is a read/query operation retrieving autoscaling status information
Attacks that exploit this kind of access
Obtém o estado de autoscaling do Queue master. It is categorised as a Read tool in the MCP Officegest MCP Server, which means it retrieves data without modifying state.
Register the MCP Officegest MCP server in PolicyLayer and add a rule for estado_autoscale_queue: 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.
estado_autoscale_queue is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the estado_autoscale_queue 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 estado_autoscale_queue. 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.
estado_autoscale_queue 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.
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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