audit_ml_assets

ML model asset discovery and size reporting.

Server Code-Oracle sri-lohith-mulugu/oracle-server
Category Read
Risk class Low
Parameters 00 required

What audit_ml_assets does on Code-Oracle

AI agents call audit_ml_assets to retrieve information from Code-Oracle without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why audit_ml_assets needs a policy

This tool performs asset discovery and generates reports on ML model sizes, which are passive information-gathering operations with no side effects. It retrieves and queries data without creating, modifying, deleting, or executing anything. The context of an architectural/security auditing server reinforces that this is an analytical tool for inventory and metrics collection.

From the tool's definition Tool name includes 'audit' and description states 'discovery and size reporting' — both indicate read-only data retrieval operations. No modification, deletion, or execution capabilities are described.

Questions about audit_ml_assets

What does the audit_ml_assets tool do? +

ML model asset discovery and size reporting. It is categorised as a Read tool in the Code-Oracle MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on audit_ml_assets? +

Register the Code-Oracle MCP server in PolicyLayer and add a rule for audit_ml_assets: 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 Code-Oracle. Nothing to install.

What risk level is audit_ml_assets? +

audit_ml_assets is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit audit_ml_assets? +

Yes. Add a rate_limit block to the audit_ml_assets 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.

How do I block audit_ml_assets completely? +

Set action: deny in the PolicyLayer policy for audit_ml_assets. 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.

What MCP server provides audit_ml_assets? +

audit_ml_assets is provided by the Code-Oracle MCP server (sri-lohith-mulugu/oracle-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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