update_data_row · Hubnote MCP: Risk & Policy

WHAT IT DOES

What update_data_row does on Hubnote Mcp

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

WHY IT NEEDS A POLICY

Why update_data_row needs a policy

This tool creates or modifies data in a reversible manner (Write category). The severity is medium because updating data rows could corrupt or override important information if misused by an AI agent, but the operation remains undoable (compared to Destructive actions). Confidence is high despite the truncated description because 'patch' and 'update' have clear semantic meaning in data operations.

From the tool's definition Tool name 'update_data_row' and description 'Patch fields of a workspace data row' indicate modification of existing data structures. 'Patch' is explicitly a reversible update operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

update_data_row Rate-limited

update_data_row 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": {
    "update_data_row": {
      "limits": [
        {
          "counter": "update_data_row_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about update_data_row

What does the update_data_row tool do? +

Patch fields of a workspace data row. Only the keys in. It is categorised as a Write tool in the Hubnote Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_data_row? +

Register the Hubnote MCP server in PolicyLayer and add a rule for update_data_row: 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 Hubnote Mcp. Nothing to install.

What risk level is update_data_row? +

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

Can I rate-limit update_data_row? +

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

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

update_data_row is provided by the Hubnote MCP server (wlzerd/hubnote-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.