sf_get_dataraptor

Retrieves the configuration of a DataRaptor interface including its type, field mappings, and filter criteria.

SERVERSalesforce Metadata Mcp SOURCEsalesforce-metadata-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee 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-get-dataraptor.md

WHAT IT DOES

What sf_get_dataraptor does on Salesforce Metadata Mcp

AI agents call sf_get_dataraptor to retrieve information from Salesforce Metadata Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why sf_get_dataraptor is rated Low

This tool retrieves configuration information about a DataRaptor interface (type, field mappings, filter criteria). The verb 'Retrieves' and the passive nature of examining existing metadata confirms this is a Read operation with no side effects. There is no mutation, execution, deletion, or financial impact.

From the tool's definition Tool name 'sf_get_dataraptor' and description 'Retrieves the configuration' indicate a read-only operation that queries and returns DataRaptor metadata without modifying or executing anything.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sf_get_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_get_dataraptor, this is the rule to start with:

sf_get_dataraptor Allowed

sf_get_dataraptor is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sf_get_dataraptor": {}
  }
}

ALLOW ONLY 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_get_dataraptor call is checked against it from then on.

FAQ

Questions about sf_get_dataraptor

What does the sf_get_dataraptor tool do? +

Retrieves the configuration of a DataRaptor interface including its type, field mappings, and filter criteria. It is categorised as a Read tool in the Salesforce Metadata Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sf_get_dataraptor? +

Register the Salesforce Metadata MCP server in PolicyLayer and add a rule for sf_get_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_get_dataraptor? +

sf_get_dataraptor is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sf_get_dataraptor? +

Yes. Add a rate_limit block to the sf_get_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_get_dataraptor completely? +

Set action: deny in the PolicyLayer policy for sf_get_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_get_dataraptor? +

sf_get_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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