execute_workflow

Execute a FlowDot workflow by ID. Use list_workflows first to get available workflow IDs.

SERVERFlowDot MCP Server SOURCEflowdot-llc/mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/flowdot-llc-mcp-server/execute-workflow.md

WHAT IT DOES

What execute_workflow does on FlowDot MCP Server

AI agents invoke execute_workflow to trigger actions in FlowDot 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.

RISK

Why execute_workflow is rated High

This tool triggers execution of arbitrary workflows, which are external operations whose actual effects (data modifications, API calls, deletions, financial transactions) depend on what the workflow contains. While the tool itself doesn't directly destructure data, it invokes workflows that may perform Write, Destructive, Financial, or other side-effect operations.

From the tool's definition Tool name is 'execute_workflow' with description stating 'Execute a FlowDot workflow by ID'. The verb 'execute' directly indicates running/triggering an operation whose effects depend on the workflow's contents and arguments.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs execute_workflow safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_workflow, this is the rule to start with:

execute_workflow Rate-limited

execute_workflow 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_workflow": {
      "limits": [
        {
          "counter": "execute_workflow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every execute_workflow call is checked against it from then on.

FAQ

Questions about execute_workflow

What does the execute_workflow tool do? +

Execute a FlowDot workflow by ID. Use list_workflows first to get available workflow IDs. It is categorised as a Execute tool in the FlowDot 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 execute_workflow? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for execute_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 FlowDot MCP Server. Nothing to install.

What risk level is execute_workflow? +

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

Can I rate-limit execute_workflow? +

Yes. Add a rate_limit block to the execute_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 execute_workflow completely? +

Set action: deny in the PolicyLayer policy for execute_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 execute_workflow? +

execute_workflow is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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