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create_logical_view

Create a new Bigtable logical view within a specified instance. The request requires project_id, instance_id, logical_view_id, and logical_view. The logical_view_id can be any name up to 128 characters. Example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-lo...

SERVERMcp SOURCEhttps://bigtableadmin.googleapis.com/mcp
Medium RISK CLASS
Category Write
Parameters 44 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-bigtableadmin-mcp/create-logical-view.md

What create_logical_view does on Mcp

AI agents use create_logical_view 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.

ParameterTypeRequiredDescription
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 instance ID within the project where the logical view will be created (e.g., "my-instance").
logicalView object Yes Required. The logical view to create.
logicalViewId string Yes Required. The ID used for the logical view within its instance, e.g., `mylogicalview`.

Parameters from the server's own tool schema.

Why create_logical_view is rated Medium

This tool creates and persists a new logical view resource in Google Bigtable, which is a reversible write operation. It does not execute arbitrary queries against existing data (which would be Execute), nor does it delete or permanently remove resources (which would be Destructive).

From the tool's definition Tool creates a new Bigtable logical view within a specified instance. The description explicitly states 'Create a new Bigtable logical view' and requires parameters to construct a new resource with a query definition.

Questions about create_logical_view

What does the create_logical_view tool do? +

Create a new Bigtable logical view within a specified instance. The request requires project_id, instance_id, logical_view_id, and logical_view. The logical_view_id can be any name up to 128 characters. Example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-logical-view", logical_view: { "query": "SELECT CF FROM my-table" } }. 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.

What parameters does create_logical_view accept? +

create_logical_view accepts 4 parameters: projectId, instanceId, logicalView, logicalViewId. Required: projectId, instanceId, logicalView, logicalViewId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_logical_view? +

Register the MCP server in PolicyLayer and add a rule for create_logical_view: 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.

What risk level is create_logical_view? +

create_logical_view is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_logical_view? +

Yes. Add a rate_limit block to the create_logical_view 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.

How do I block create_logical_view completely? +

Set action: deny in the PolicyLayer policy for create_logical_view. 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.

What MCP server provides create_logical_view? +

create_logical_view 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.

More on , and thousands of servers like it.

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