Retrieve detailed information about a specific workflow execution
AI agents call get_execution to retrieve information from n8n MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries execution data without modifying, creating, or deleting any resources. It is a straightforward data retrieval operation with minimal blast radius if misused by an AI agent—the worst outcome would be information disclosure of execution logs or metadata that the agent is already authorized to access.
From the tool's definition Tool name 'get_execution' and description 'Retrieve detailed information about a specific workflow execution' indicate a read-only query operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_execution gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and n8n MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_execution:
{
"version": "1",
"default": "deny",
"tools": {
"get_execution": {}
}
} get_execution is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve detailed information about a specific workflow execution. It is categorised as a Read tool in the n8n MCP Server MCP Server, which means it retrieves data without modifying state.
Register the n8n MCP Server MCP server in PolicyLayer and add a rule for get_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 MCP Server. Nothing to install.
get_execution is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_execution is provided by the n8n MCP Server MCP server (leonardsellem/n8n-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from n8n MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 n8n MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.