audit_public_files
AI agents call audit_public_files to retrieve information from GAM MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name suggests an audit/read operation to identify publicly accessible files in Google Drive. Sibling tools follow a pattern of 'audit_*' operations which appear to be read/query actions (audit_all_permissions, audit_external_permissions, audit_file_counts, etc.). However, the empty description lowers confidence.
From the tool's definition Tool name 'audit_public_files' and server context involving Google Workspace Drive administration. Description is empty.
Attacks that exploit this kind of access
audit_public_files. It is categorised as a Read tool in the GAM MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GAM MCP Server MCP server in PolicyLayer and add a rule for audit_public_files: 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 GAM MCP Server. Nothing to install.
audit_public_files 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 audit_public_files 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 audit_public_files. 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.
audit_public_files is provided by the GAM MCP Server MCP server (ktibbs9417/gamcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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