AI agents call get_schema to retrieve information from TG_MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves database schema information, which is a read-only operation with no side effects. It returns structural metadata about the TigerGraph database rather than data values. The low severity reflects minimal blast radius—schema information is typically non-sensitive configuration data, and reading it cannot modify or delete data.
From the tool's definition Tool name 'get_schema' and description 'Get TigerGraph schema' indicate a retrieval operation that queries schema metadata without modification.
Attacks that exploit this kind of access
MCP tool: Get TigerGraph schema. It is categorised as a Read tool in the TG_MCP MCP Server, which means it retrieves data without modifying state.
Register the TG_ MCP server in PolicyLayer and add a rule for get_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 TG_MCP. Nothing to install.
get_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 get_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 get_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.
get_schema is provided by the TG_ MCP server (muzain187/tg_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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