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crm_build_ai_workflow

Build and deploy a complete AI Workflow (Agent Studio agent) from a natural language description. Creates the agent, configures knowledge base connections, adds MCP server nodes for tool access, and promotes to production.

Part of the 0nmcp server.

crm_build_ai_workflow can trigger actions in 0nmcp, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke crm_build_ai_workflow to trigger processes or run actions in 0nmcp. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

crm_build_ai_workflow can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

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

See the full 0nmcp policy for all 407 tools.

Get this rule live on your own 0nmcp server in minutes. PolicyLayer enforces it on every call, before it runs.

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View all 407 tools →

These attack patterns abuse exactly the kind of access crm_build_ai_workflow gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so crm_build_ai_workflow only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the crm_build_ai_workflow tool do? +

Build and deploy a complete AI Workflow (Agent Studio agent) from a natural language description. Creates the agent, configures knowledge base connections, adds MCP server nodes for tool access, and promotes to production.. It is categorised as a Execute tool in the 0nmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on crm_build_ai_workflow? +

Register the 0n MCP server in PolicyLayer and add a rule for crm_build_ai_workflow: 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 0nmcp. Nothing to install.

What risk level is crm_build_ai_workflow? +

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

Can I rate-limit crm_build_ai_workflow? +

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

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

crm_build_ai_workflow is provided by the 0n MCP server (0nmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every 0nmcp tool call.

Deterministic rules across all 407 0nmcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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