High Risk →

deploy_start

Deploy metadata to Salesforce org with test execution options.

How to control deploy_start ↓

What deploy_start does on Salesforce MCP Server

AI agents invoke deploy_start to trigger actions in Salesforce MCP Server. 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 deploy_start needs a policy

Deploying metadata to a Salesforce org is an Execute action—it triggers external operations (deployment pipeline, test execution, org modifications) whose effects depend on the metadata being deployed and test configuration arguments. While deployment can modify data/configuration (borderline Write), the primary risk is execution of arbitrary code via metadata deployment and tests.

From the tool's definition Tool name 'deploy_start' with description 'Deploy metadata to Salesforce org with test execution options' indicates execution of deployment processes and test operations against a live Salesforce organization.

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

How to control deploy_start

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

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

deploy_start 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 MCP Server — 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 deploy_start

What does the deploy_start tool do? +

Deploy metadata to Salesforce org with test execution options. It is categorised as a Execute tool in the Salesforce MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deploy_start? +

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

What risk level is deploy_start? +

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

Can I rate-limit deploy_start? +

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

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

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

Enforce policy on every Salesforce MCP Server tool call.

Start from Salesforce MCP Server, 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.

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

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