container_pause
Pausa un contenedor en ejecucion. Parametros: container_id.
This record as markdown: /tools/inggerman-mcps/container-pause.md
What container_pause does on MCP Framework Personal
AI agents invoke container_pause to trigger actions in MCP Framework Personal. 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.
Why container_pause is rated High
Pausing a running container is an external operational action that affects a live system. It interrupts services/workloads running inside the container, which can cause service disruptions. While not irreversible (a container can be unpaused), the action triggers an external operation with significant impact on running processes, placing it in the Execute category.
From the tool's definition Pausa un contenedor en ejecucion (Pauses a running container)
Attacks that exploit this kind of access
The rule that runs container_pause safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For container_pause, this is the rule to start with:
container_pause 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.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Framework Personal, apply this rule, and every container_pause call is checked against it from then on.
Questions about container_pause
Pausa un contenedor en ejecucion. Parametros: container_id. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for container_pause: 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 Framework Personal. Nothing to install.
container_pause is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the container_pause 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 container_pause. 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.
container_pause is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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