set_user_preferences · MCP BigQuery Server MCP

WHAT IT DOES

What set_user_preferences does on MCP BigQuery Server

AI agents use set_user_preferences to create or update resources in MCP BigQuery Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP BigQuery Server environment.

WHY IT NEEDS A POLICY

Why set_user_preferences needs a policy

This tool modifies user preference data in a database (Supabase) but does not delete data irreversibly, execute code, move money, or perform highly destructive operations. The impact is limited to preference configuration, which can be changed again.

From the tool's definition Tool name 'set_user_preferences' and description 'Set or update user preferences' indicate creation or modification of data in Supabase. The verb 'set' and 'update' are characteristic of Write operations.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

set_user_preferences Rate-limited

set_user_preferences 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_user_preferences": {
      "limits": [
        {
          "counter": "set_user_preferences_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP BigQuery Server, so you can run agents against it safely.

FAQ

Questions about set_user_preferences

What does the set_user_preferences tool do? +

Set or update user preferences in Supabase. If user_id is not provided, uses. It is categorised as a Write tool in the MCP BigQuery Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on set_user_preferences? +

Register the MCP BigQuery Server MCP server in PolicyLayer and add a rule for set_user_preferences: 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 BigQuery Server. Nothing to install.

What risk level is set_user_preferences? +

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

Can I rate-limit set_user_preferences? +

Yes. Add a rate_limit block to the set_user_preferences 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 set_user_preferences completely? +

Set action: deny in the PolicyLayer policy for set_user_preferences. 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 set_user_preferences? +

set_user_preferences is provided by the MCP BigQuery Server MCP server (mousten/mcp-bigquery-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.