AI agents invoke run_gsql to trigger actions in TG_MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary GSQL queries whose effects are determined entirely by the query argument provided by the user/agent. While GSQL queries can perform reads, writes, or even destructive operations, the tool itself is an execution primitive—the danger lies in what query gets executed. Raw query execution against a database is inherently Execute-class.
From the tool's definition Tool name 'run_gsql' and description 'Run a raw GSQL query' indicate execution of arbitrary GSQL commands against a TigerGraph database.
Attacks that exploit this kind of access
MCP tool: Run a raw GSQL query. It is categorised as a Execute tool in the TG_MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the TG_ MCP server in PolicyLayer and add a rule for run_gsql: 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.
run_gsql is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_gsql 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 run_gsql. 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.
run_gsql 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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