AI agents call container_logs to retrieve information from ChatGPT 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 existing log data from a container with no side effects. While it could expose sensitive information if logs contain secrets, the primary action is read-only querying. The severity is low because log access itself does not modify state, execute code, or cause irreversible harm—though in practice, log contents should be treated as sensitive.
From the tool's definition Tool name 'container_logs' and description 'Get container logs' indicate retrieval of log data without modification or execution.
Documented attack patterns abuse exactly the kind of access container_logs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ChatGPT MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for container_logs:
{
"version": "1",
"default": "deny",
"tools": {
"container_logs": {}
}
}container_logs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get container logs. It is categorised as a Read tool in the ChatGPT MCP Server MCP Server, which means it retrieves data without modifying state.
Register the ChatGPT MCP Server MCP server in PolicyLayer and add a rule for container_logs: 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 ChatGPT MCP Server. Nothing to install.
container_logs 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 container_logs 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 container_logs. 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.
container_logs is provided by the ChatGPT MCP Server MCP server (toowiredd/chatgpt-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from ChatGPT 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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7 ChatGPT MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.