modify_data · OrgFlow MCP: Risk & Policy

WHAT IT DOES

What modify_data does on OrgFlow MCP

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

WHY IT NEEDS A POLICY

Why modify_data needs a policy

The tool performs Write operations (insert/update) on organizational data. While it modifies records, these changes are reversible through correction or rollback mechanisms. The batch operations capability increases the scope of impact but does not cross into Destructive territory (no deletion) or Execute territory (no code/command execution).

From the tool's definition Tool description explicitly states 'Insert or update records in datasets with batch operations' - these are reversible modification operations that create or change data without deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

modify_data Rate-limited

modify_data 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": {
    "modify_data": {
      "limits": [
        {
          "counter": "modify_data_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 OrgFlow MCP, so you can run agents against it safely.

FAQ

Questions about modify_data

What does the modify_data tool do? +

Insert or update records in datasets with batch operations and deduplication. It is categorised as a Write tool in the OrgFlow 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 modify_data? +

Register the OrgFlow MCP server in PolicyLayer and add a rule for modify_data: 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 OrgFlow MCP. Nothing to install.

What risk level is modify_data? +

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

Can I rate-limit modify_data? +

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

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

modify_data is provided by the OrgFlow MCP server (sujalpat1810/orgflow_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.