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delete_logical_view

Deletes a Bigtable logical view within a specified instance. The request requires the name field to be set in the format 'projects/{project}/instances/{instance}/logicalViews/{logical_view}'. Example: { "name": "projects/my-project/instances/my-instance/logicalViews/my-logical-view" } Before exec...

Part of the Mcp server.

delete_logical_view can permanently delete data in Mcp, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents may call delete_logical_view to permanently remove or destroy resources in Mcp. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.

Without a policy, an AI agent could call delete_logical_view in a loop, permanently destroying resources in Mcp. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.

Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.

policy.json
{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_logical_view"
  ]
}

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These attack patterns abuse exactly the kind of access delete_logical_view gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so delete_logical_view only ever does what you allow.

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Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.

What does the delete_logical_view tool do? +

Deletes a Bigtable logical view within a specified instance. The request requires the name field to be set in the format 'projects/{project}/instances/{instance}/logicalViews/{logical_view}'. Example: { "name": "projects/my-project/instances/my-instance/logicalViews/my-logical-view" } Before executing the deletion, you MUST confirm the action with the user by stating the full logical view name and asking for "yes/no" confirmation.. It is categorised as a Destructive tool in the Mcp MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_logical_view? +

Register the MCP server in PolicyLayer and add a rule for delete_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 delete_logical_view? +

delete_logical_view is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_logical_view? +

Yes. Add a rate_limit block to the delete_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 delete_logical_view completely? +

Set action: deny in the PolicyLayer policy for delete_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 delete_logical_view? +

delete_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.

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