Show additional context and suggestions for error messages.
AI agents call enhance_error_message to retrieve information from QuantConnect without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves contextual information about existing errors and formats suggestions for display. It has no side effects, does not execute code, does not modify data, and does not trigger external operations. It is purely informational, making it a Read category tool with low severity.
From the tool's definition Tool name is 'enhance_error_message' and description states it 'Show[s] additional context and suggestions for error messages' — a read-only operation that retrieves and displays diagnostic information without modifying state or executing code.
Documented attack patterns abuse exactly the kind of access enhance_error_message gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and QuantConnect, and nothing reaches the server without passing your rules. This is the rule we recommend for enhance_error_message:
{
"version": "1",
"default": "deny",
"tools": {
"enhance_error_message": {}
}
}enhance_error_message is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Show additional context and suggestions for error messages. It is categorised as a Read tool in the QuantConnect MCP Server, which means it retrieves data without modifying state.
Register the QuantConnect MCP server in PolicyLayer and add a rule for enhance_error_message: 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 QuantConnect. Nothing to install.
enhance_error_message 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 enhance_error_message 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 enhance_error_message. 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.
enhance_error_message is provided by the QuantConnect MCP server (quantconnect/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 64 QuantConnect tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
64 QuantConnect tools catalogued and risk-classified — across an index of 42,500+ MCP servers.