Returns the full database schema (all tables, columns, types, relations) plus ready-made SQL snippets for common questions like user counts, active sessions, subscription plans, credit balances, etc. Call this before running cli_database_query when the user asks a data question.
AI agents call database_schema to retrieve information from LaunchFrame MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
While the tool provides schema information and SQL snippets that enable querying sensitive data (user counts, subscription plans, credit balances), it itself performs no writes, deletions, or destructive operations. It is a retrieval tool.
From the tool's definition Returns database schema and SQL snippets; described as providing 'ready-made SQL snippets for common questions like user counts, active sessions, subscription plans, credit balances'—these are all read-only queries.
Attacks that exploit this kind of access
Returns the full database schema (all tables, columns, types, relations) plus ready-made SQL snippets for common questions like user counts, active sessions, subscription plans, credit balances, etc. Call this before running cli_database_query when the user asks a data question. It is categorised as a Read tool in the LaunchFrame MCP MCP Server, which means it retrieves data without modifying state.
Register the LaunchFrame MCP server in PolicyLayer and add a rule for database_schema: 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 LaunchFrame MCP. Nothing to install.
database_schema 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 database_schema 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 database_schema. 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.
database_schema is provided by the LaunchFrame MCP server (launchframe-dev/mcp). 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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