Execute a workflow
AI agents invoke execute-workflow to trigger actions in Claude Flow. 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.
Workflows can contain arbitrary operations (queries, API calls, state changes, integrations). Executing a workflow is functionally equivalent to running code or scripts. The blast radius depends on what the workflow contains, making this high severity. However, without evidence of irreversible deletion (Destructive) or financial transactions (Financial), Execute is the most precise category.
From the tool's definition Tool name is 'execute-workflow' and description states 'Execute a workflow'. The verb 'Execute' combined with context of running workflows in an orchestration system indicates this triggers external operations whose effects depend on arguments.
Attacks that exploit this kind of access
Execute a workflow. It is categorised as a Execute tool in the Claude Flow MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Claude Flow 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 Claude Flow. 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 Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.