This record as markdown: /tools/io-github-portel-dev-ncp/create-bucket.md
What create_bucket does on Ncp
AI agents use create_bucket to create or update resources in Ncp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ncp environment.
Why create_bucket is rated Medium
Creating a GCS bucket is a write operation that establishes a new storage resource. While it has cloud infrastructure implications, it is not destructive (the bucket can be deleted), not financial (no direct money movement), and not execute (no arbitrary code or external command execution).
From the tool's definition Tool description states 'Create Google Cloud Storage bucket' - this creates a new cloud storage resource that can be modified or deleted later, making it a reversible write operation.
Attacks that exploit this kind of access
The rule that runs create_bucket 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 create_bucket, this is the rule to start with:
create_bucket stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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 create_bucket call is checked against it from then on.
Questions about create_bucket
Create Google Cloud Storage bucket. It is categorised as a Write tool in the Ncp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ncp MCP server in PolicyLayer and add a rule for create_bucket: 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.
create_bucket 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 create_bucket 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 create_bucket. 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.
create_bucket 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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