AI agents use put-queue to create or update resources in Rabbitmq — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rabbitmq environment.
This tool creates or modifies queue resources in RabbitMQ. These operations are reversible through deletion or reconfiguration, making it a Write action rather than Destructive. Severity is medium because misconfiguration could disrupt message flow or create unexpected queues, but the effects are not permanent or irreversible like Destructive actions.
From the tool's definition Tool name 'put-queue' and description 'Create or update a queue' indicate reversible creation or modification of queue configurations.
Attacks that exploit this kind of access
Create or update a queue. It is categorised as a Write tool in the Rabbitmq MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rabbitmq MCP server in PolicyLayer and add a rule for put-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 Rabbitmq. Nothing to install.
put-queue is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the put-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 put-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.
put-queue is provided by the Rabbitmq MCP server (rabbitmq-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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