AI agents use update_module_selection to create or update resources in 3DCityDB MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 3DCityDB MCP Server environment.
This tool appears to create or modify configuration/state reversibly by narrowing module selection within the 3DCityDB session. It does not delete data irreversibly (not Destructive), execute arbitrary code (not Execute), move money (not Financial), or merely read data (not Read).
From the tool's definition Tool name 'update_module_selection' indicates a modification operation that changes selected modules within the 3DCityDB context.
Documented attack patterns abuse exactly the kind of access update_module_selection gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and 3DCityDB MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_module_selection:
{
"version": "1",
"default": "deny",
"tools": {
"update_module_selection": {
"limits": [
{
"counter": "update_module_selection_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_module_selection 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.
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Narrows the user. It is categorised as a Write tool in the 3DCityDB MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 3DCityDB MCP Server MCP server in PolicyLayer and add a rule for update_module_selection: 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 3DCityDB MCP Server. Nothing to install.
update_module_selection 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_module_selection 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_module_selection. 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_module_selection is provided by the 3DCityDB MCP Server MCP server (tum-gis/3dcitydb-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from 3DCityDB MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 3DCityDB MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.