AI agents call get_database_info to retrieve information from literateMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves informational metadata about the database schema and statistics. It performs a query operation that returns data without creating, modifying, deleting, executing external operations, or moving money. The action is read-only and suitable for inspection purposes.
From the tool's definition Tool name 'get_database_info' and description 'Get overall database information and row counts' indicate retrieval of metadata without modification. No side effects or data changes.
Documented attack patterns abuse exactly the kind of access get_database_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and literateMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_database_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_database_info": {}
}
}get_database_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get overall database information and row counts. It is categorised as a Read tool in the literateMCP MCP Server, which means it retrieves data without modifying state.
Register the literate MCP server in PolicyLayer and add a rule for get_database_info: 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 literateMCP. Nothing to install.
get_database_info 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 get_database_info 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 get_database_info. 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.
get_database_info is provided by the literate MCP server (zongmin-yu/sqlite-literature-management-fastmcp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from literateMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 literateMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.