This record as markdown: /tools/io-github-devopam-mcpg/audit-database.md
What audit_database does on Mcpg
AI agents call audit_database 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 audit_database is rated Low
Without a description, we infer from the name that 'audit_database' performs inspection or querying of database metadata, configuration, or access logs—typical audit functions are Read operations that examine state without modification. The sibling tools (retention policies, query analysis, lock analysis) support this as they're mostly diagnostic.
From the tool's definition Tool name 'audit_database' suggests information retrieval and reporting on database state; no description provided to clarify scope.
Attacks that exploit this kind of access
The rule that runs audit_database 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 audit_database, this is the rule to start with:
audit_database 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 audit_database call is checked against it from then on.
Questions about audit_database
audit_database 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 audit_database: 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.
audit_database 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_database 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_database. 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_database 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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