Detect quality drift between current and previous LLM responses
Part of the Llm Output Quality Monitor server.
Free to start. No card required.
AI agents call drift_detector to retrieve information from Llm Output Quality Monitor without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though drift_detector only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"drift_detector": {}
}
}See the full Llm Output Quality Monitor policy for all 5 tools.
These attack patterns abuse exactly the kind of access drift_detector gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Detect quality drift between current and previous LLM responses. It is categorised as a Read tool in the Llm Output Quality Monitor MCP Server, which means it retrieves data without modifying state.
Register the Llm Output Quality Monitor MCP server in PolicyLayer and add a rule for drift_detector: 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 Llm Output Quality Monitor. Nothing to install.
drift_detector 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 drift_detector 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 drift_detector. 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.
drift_detector is provided by the Llm Output Quality Monitor MCP server (https://api.lazy-mac.com/llm-output-quality-monitor/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 5 Llm Output Quality Monitor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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