This record as markdown: /tools/io-github-portel-dev-ncp/run-plan.md
What run_plan does on Ncp
AI agents invoke run_plan to trigger actions in Ncp. 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 run_plan is rated High
This tool executes Terraform plans, which runs provisioning code against cloud/infrastructure resources. While 'terraform plan' itself is often a dry-run, 'run_plan' in an orchestration context most likely refers to executing the actual plan (applying infrastructure changes).
From the tool's definition Tool name is 'run_plan' with description 'Execute Terraform plan'. The verb 'Execute' combined with 'Terraform plan' indicates the tool runs infrastructure-as-code operations that trigger external deployments and infrastructure changes.
Attacks that exploit this kind of access
The rule that runs run_plan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For run_plan, this is the rule to start with:
run_plan 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 Ncp, apply this rule, and every run_plan call is checked against it from then on.
Questions about run_plan
Execute Terraform plan. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp MCP server in PolicyLayer and add a rule for run_plan: 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 Ncp. Nothing to install.
run_plan 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 run_plan 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 run_plan. 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.
run_plan is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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