High Risk →

call_rest_api

Make a generic REST API call to Salesforce (supports GET, POST, PATCH, DELETE)

How to control call_rest_api ↓

What call_rest_api does on Salesforce

AI agents invoke call_rest_api to trigger actions in Salesforce. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why call_rest_api needs a policy

This tool supports arbitrary HTTP methods including DELETE and PATCH against the Salesforce API, meaning it can read, write, modify, or irreversibly delete any Salesforce data depending on the arguments passed.

From the tool's definition Make a generic REST API call to Salesforce (supports GET, POST, PATCH, DELETE)

Documented attack patterns abuse exactly the kind of access call_rest_api gives an agent:

How to control call_rest_api

PolicyLayer is an MCP gateway — it sits between your AI agents and Salesforce, and nothing reaches the server without passing your rules. This is the rule we recommend for call_rest_api:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "call_rest_api": {
      "limits": [
        {
          "counter": "call_rest_api_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

call_rest_api stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Salesforce — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about call_rest_api

What does the call_rest_api tool do? +

Make a generic REST API call to Salesforce (supports GET, POST, PATCH, DELETE). It is categorised as a Execute tool in the Salesforce MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on call_rest_api? +

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

What risk level is call_rest_api? +

call_rest_api is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit call_rest_api? +

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

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

call_rest_api is provided by the Salesforce MCP server (ryu-727/salesforce-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Salesforce tool call.

Start from Salesforce, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

25 Salesforce tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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