Updates a Bigtable logical view within a specified instance. You can update the GoogleSQL query and/or the deletion protection setting. At least one field to update (e.g., query or deletion_protection) must be provided in logical_view field. Update query example: { "project_id": "my-project", "in...
Part of the Mcp server.
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AI agents use update_logical_view to create or modify resources in Mcp. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call update_logical_view repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Mcp.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
{
"version": "1",
"default": "deny",
"tools": {
"update_logical_view": {
"limits": [
{
"counter": "update_logical_view_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Mcp policy for all 13 tools.
These attack patterns abuse exactly the kind of access update_logical_view gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Updates a Bigtable logical view within a specified instance. You can update the GoogleSQL query and/or the deletion protection setting. At least one field to update (e.g., query or deletion_protection) must be provided in logical_view field. Update query example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-logical-view", logical_view: { "query": "SELECT CF FROM my-table" } } Update deletion protection example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-logical-view", logical_view: { "deletion_protection": true } } Update query and deletion protection example: { "project_id": "my-project", "instance_id": "my-instance", "logical_view_id": "my-logical-view", logical_view: { "query": "SELECT CF FROM my-table", "deletion_protection": true } }. 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.
Register the MCP server in PolicyLayer and add a rule for update_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.
update_logical_view 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 update_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.
Set action: deny in the PolicyLayer policy for update_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.
update_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.
Deterministic rules across all 13 Mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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