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run_full_workflow

Execute every workflow step in sequence with a single command (requires supplying the details for each phase)

Part of the Dev Workflow MCP Server server.

run_full_workflow can trigger actions in Dev Workflow MCP Server, 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 run_full_workflow to trigger processes or run actions in Dev Workflow MCP Server. 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.

run_full_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": {
    "run_full_workflow": {
      "limits": [
        {
          "counter": "run_full_workflow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Dev Workflow MCP Server policy for all 17 tools.

Get this rule live on your own Dev Workflow MCP Server server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access run_full_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 run_full_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 run_full_workflow tool do? +

Execute every workflow step in sequence with a single command (requires supplying the details for each phase). It is categorised as a Execute tool in the Dev Workflow 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 run_full_workflow? +

Register the Dev Workflow MCP Server MCP server in PolicyLayer and add a rule for run_full_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 Dev Workflow MCP Server. Nothing to install.

What risk level is run_full_workflow? +

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

Can I rate-limit run_full_workflow? +

Yes. Add a rate_limit block to the run_full_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 run_full_workflow completely? +

Set action: deny in the PolicyLayer policy for run_full_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 run_full_workflow? +

run_full_workflow is provided by the Dev Workflow MCP Server MCP server (@programinglive/dev-workflow-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 Dev Workflow MCP Server tool call.

Deterministic rules across all 17 Dev Workflow MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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