debug_admin_openai
Run Mealie's admin OpenAI debug endpoint.
This record as markdown: /tools/nikopol666-mealie-mcp/debug-admin-openai.md
What debug_admin_openai does on Mealie MCP Server
AI agents invoke debug_admin_openai to trigger actions in Mealie MCP Server. 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 debug_admin_openai is rated High
This tool executes a debug endpoint with admin privileges, which can trigger external API calls to OpenAI and may modify system state or expose sensitive debugging information. While not immediately destructive or financial, it represents Execute-level risk because it runs code/operations whose side effects are context-dependent and could include logging, state changes, or API interactions.
From the tool's definition Tool name 'debug_admin_openai' and description 'Run Mealie's admin OpenAI debug endpoint' indicate execution of an admin-level debugging operation that interfaces with OpenAI.
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
The rule that runs debug_admin_openai safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mealie MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For debug_admin_openai, this is the rule to start with:
debug_admin_openai stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mealie MCP Server, apply this rule, and every debug_admin_openai call is checked against it from then on.
Questions about debug_admin_openai
Run Mealie's admin OpenAI debug endpoint. It is categorised as a Execute tool in the Mealie MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mealie MCP Server MCP server in PolicyLayer and add a rule for debug_admin_openai: 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 Mealie MCP Server. Nothing to install.
debug_admin_openai 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 debug_admin_openai 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 debug_admin_openai. 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.
debug_admin_openai is provided by the Mealie MCP Server MCP server (nikopol666/mealie-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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