create_instance
Create a new instance in the specified project. The request requires project_id, instance_id, display_name, and at least one cluster. The instance_id must be RFC 1035 compliant. Each cluster must specify its zone (e.g. us-central1-a). Example: { "project_id": "my-project", "instance_id": "my-inst...
This record as markdown: /tools/com-googleapis-bigtableadmin-mcp/create-instance.md
What create_instance does on Mcp
AI agents use create_instance to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
clusters | array | Yes | Required. Clusters to be created within the instance. At least one cluster must be specified. |
projectId | string | Yes | Required. The project ID (e.g., "my-project"). If not known from the context, the Agent should attempt to get the current project ID from the gcloud config by r |
instanceId | string | Yes | Required. The ID to be used when referring to the new instance within its project, e.g., just `myinstance` rather than `projects/myproject/instances/myinstance` |
displayName | string | Yes | Required. The descriptive name for this instance as it appears in UIs. |
Parameters from the server's own tool schema.
Why create_instance is rated Medium
Creating a new Bigtable instance is a write operation that establishes new infrastructure and incurs cloud resource costs. It is reversible (instances can be deleted via delete_instance), so it falls under Write rather than Destructive.
From the tool's definition Tool creates a new instance in the specified project with cluster configuration, which is a reversible data/resource creation operation. Description states 'Create a new instance' and requires project_id, instance_id, display_name, and cluster specifications.
Attacks that exploit this kind of access
The rule that runs create_instance safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_instance, this is the rule to start with:
create_instance 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 Mcp, apply this rule, and every create_instance call is checked against it from then on.
Questions about create_instance
Create a new instance in the specified project. The request requires project_id, instance_id, display_name, and at least one cluster. The instance_id must be RFC 1035 compliant. Each cluster must specify its zone (e.g. us-central1-a). Example: { "project_id": "my-project", "instance_id": "my-instance", "display_name": "This is my instance", "clusters": [ { "zone": "us-central1-a", "serve_nodes": 3, "default_storage_type": "SSD" } ] }. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_instance accepts 4 parameters: clusters, projectId, instanceId, displayName. Required: clusters, projectId, instanceId, displayName. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for create_instance: 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. Nothing to install.
create_instance 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_instance 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_instance. 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_instance is provided by the MCP server (https://bigtableadmin.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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