This record as markdown: /tools/io-github-devopam-mcpg/monitor-embedding-drift.md
What monitor_embedding_drift does on Mcpg
AI agents call monitor_embedding_drift to retrieve information from Mcpg without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why monitor_embedding_drift is rated Low
The tool appears to read and analyze embedding drift data (a common ML monitoring task) without creating, modifying, or deleting data. While the description is empty, the name strongly suggests a Read operation. Confidence is slightly reduced due to missing description, but the naming convention and context on a production PostgreSQL server support Read classification.
From the tool's definition Tool name 'monitor_embedding_drift' indicates observation/monitoring of embedding drift metrics. The 'monitor_' prefix suggests querying or retrieving drift data rather than modifying it.
Attacks that exploit this kind of access
The rule that runs monitor_embedding_drift safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcpg, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For monitor_embedding_drift, this is the rule to start with:
monitor_embedding_drift is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcpg, apply this rule, and every monitor_embedding_drift call is checked against it from then on.
Questions about monitor_embedding_drift
monitor_embedding_drift is a read tool on the Mcpg MCP server. It is categorised as a Read tool in the Mcpg MCP Server, which means it retrieves data without modifying state.
Register the Mcpg MCP server in PolicyLayer and add a rule for monitor_embedding_drift: 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 Mcpg. Nothing to install.
monitor_embedding_drift 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 monitor_embedding_drift 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 monitor_embedding_drift. 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.
monitor_embedding_drift is provided by the Mcpg MCP server (pypi:mcpg). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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