sf_create_dataraptor

SERVERSalesforce Metadata Mcp SOURCEsalesforce-metadata-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-semwalajay83-sem-salesforce-metadata-mcp/sf-create-dataraptor.md

WHAT IT DOES

What sf_create_dataraptor does on Salesforce Metadata Mcp

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

RISK

Why sf_create_dataraptor is rated Medium

While DataRaptors can read (Extract) and transform data, the tool's primary purpose includes creating Load operations that write data to Salesforce objects. This is a reversible data modification capability (Write category), not a destructive operation.

From the tool's definition The tool creates DataRaptor interfaces that include 'Load (write to Salesforce objects)' operations. The description explicitly states it can write data to Salesforce objects via field mappings between source and target fields.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sf_create_dataraptor safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Salesforce Metadata Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sf_create_dataraptor, this is the rule to start with:

sf_create_dataraptor Rate-limited

sf_create_dataraptor 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": {
    "sf_create_dataraptor": {
      "limits": [
        {
          "counter": "sf_create_dataraptor_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Salesforce Metadata Mcp, apply this rule, and every sf_create_dataraptor call is checked against it from then on.

FAQ

Questions about sf_create_dataraptor

What does the sf_create_dataraptor tool do? +

Creates a DataRaptor interface for OmniStudio data transformation. DataRaptors handle Extract (read from Salesforce), Transform (convert data formats), and Load (write to Salesforce) operations. interfaceType: - Extract: reads data from Salesforce objects using SOQL-like field mappings - Transform: converts/maps data between formats (JSON path transformations) - Load: writes data to Salesforce objects Each field mapping defines: - sourceField: source JSON path or Salesforce field API name - targetField: target JSON path or Salesforce field API name - dataType: data type (Text, Number, Boolean, Date, etc.) - formula: optional transformation formula filterCriteria: SOQL WHERE clause for Extract DataRaptors (e.g. It is categorised as a Write tool in the Salesforce Metadata 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 sf_create_dataraptor? +

Register the Salesforce Metadata MCP server in PolicyLayer and add a rule for sf_create_dataraptor: 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 Salesforce Metadata Mcp. Nothing to install.

What risk level is sf_create_dataraptor? +

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

Can I rate-limit sf_create_dataraptor? +

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

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

sf_create_dataraptor is provided by the Salesforce Metadata MCP server (salesforce-metadata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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