retry_execution

Retry a failed execution. Set load_workflow=true to use the latest workflow version.

Server N8n siddharth0903/n8n-mcp
Category Execute
Risk class High
Parameters 00 required

What retry_execution does on N8n

AI agents invoke retry_execution to trigger actions in N8n. 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.

Why retry_execution needs a policy

This tool re-triggers a previously failed workflow execution, which constitutes executing an external operation. It doesn't just read or write data — it actively runs automation workflows again, potentially triggering any side effects those workflows have (API calls, data modifications, notifications, etc.).

From the tool's definition Retry a failed execution. Set load_workflow=true to use the latest workflow version.

Questions about retry_execution

What does the retry_execution tool do? +

Retry a failed execution. Set load_workflow=true to use the latest workflow version. It is categorised as a Execute tool in the N8n MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on retry_execution? +

Register the N8n MCP server in PolicyLayer and add a rule for retry_execution: 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 N8n. Nothing to install.

What risk level is retry_execution? +

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

Can I rate-limit retry_execution? +

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

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

retry_execution is provided by the N8n MCP server (siddharth0903/n8n-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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