Execute a SQL query against a collection using Trino syntax
AI agents invoke sql_search to trigger actions in Omics AI MCP Server. 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 SQL queries, which can include not just SELECT statements but potentially destructive or resource-intensive operations depending on permissions.
From the tool's definition "Execute a SQL query against a collection using Trino syntax" — the tool runs arbitrary SQL against datasets
Attacks that exploit this kind of access
Execute a SQL query against a collection using Trino syntax. It is categorised as a Execute tool in the Omics AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Omics AI MCP Server MCP server in PolicyLayer and add a rule for sql_search: 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 Omics AI MCP Server. Nothing to install.
sql_search 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 sql_search 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 sql_search. 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.
sql_search is provided by the Omics AI MCP Server MCP server (mfiume/omics-ai-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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