Execute a workflow with your input data. The workflow will process your request through multiple steps.
AI agents invoke execute_workflow to trigger actions in Automagik Tools. 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.
This tool triggers execution of workflows with user-supplied input data. The effects and side effects depend entirely on what the workflow contains and how it processes the input. While we don't see the workflow definitions, the architecture of transforming APIs into agents means workflows likely call external APIs or services.
From the tool's definition Tool name 'execute_workflow' combined with description 'Execute a workflow with your input data. The workflow will process your request through multiple steps' indicates the tool runs external workflows whose effects depend on input data.
Documented attack patterns abuse exactly the kind of access execute_workflow gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Automagik Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_workflow:
{
"version": "1",
"default": "deny",
"tools": {
"execute_workflow": {
"limits": [
{
"counter": "execute_workflow_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}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.
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Execute a workflow with your input data. The workflow will process your request through multiple steps. It is categorised as a Execute tool in the Automagik Tools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Automagik Tools 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 Automagik Tools. Nothing to install.
execute_workflow is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
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.
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.
execute_workflow is provided by the Automagik Tools MCP server (namastexlabs/automagik-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Automagik Tools, 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.
122 Automagik Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.