Redeploy an existing app without changing its current slug. Confirm the exact app name with the user first and pass it here. Default to recreate to minimize temporary live compute usage; use rolling only when the user explicitly prefers lower-downtime rollout behavior.
AI agents invoke redeploy to trigger actions in PlugLayer MCP Server. 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.
Redeploying an app triggers an external infrastructure operation that restarts/recreates live compute resources. This is an Execute-category action with high severity because misuse could cause production downtime (recreate mode tears down the existing instance before spinning up a new one), affecting live users and services.
From the tool's definition Redeploy an existing app without changing its current slug... Default to `recreate` to minimize temporary live compute usage; use `rolling` only when the user explicitly prefers lower-downtime rollout behavior.
Attacks that exploit this kind of access
Redeploy an existing app without changing its current slug. Confirm the exact app name with the user first and pass it here. Default to recreate to minimize temporary live compute usage; use rolling only when the user explicitly prefers lower-downtime rollout behavior. It is categorised as a Execute tool in the PlugLayer MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PlugLayer MCP Server MCP server in PolicyLayer and add a rule for redeploy: 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 PlugLayer MCP Server. Nothing to install.
redeploy 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 redeploy 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 redeploy. 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.
redeploy is provided by the PlugLayer MCP Server MCP server (pluglayer/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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