execute SQL against Base
AI agents invoke run_sql_query to trigger actions in BaseQL 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.
While the tool primarily reads blockchain data (which would be 'Read' category), the ability to execute arbitrary SQL queries carries Execute-level risk. An agent with unrestricted SQL access could attempt unauthorized operations, resource exhaustion attacks, or craft queries with unintended side effects. The Base blockchain context and Coinbase API access elevate this beyond simple data retrieval.
From the tool's definition Tool explicitly described as 'execute SQL against Base' with 'direct access to Coinbase's SQL API for realtime on-chain analytics.' The verb 'execute' combined with SQL query capability indicates arbitrary code execution on blockchain data.
Attacks that exploit this kind of access
execute SQL against Base. It is categorised as a Execute tool in the BaseQL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the BaseQL MCP Server MCP server in PolicyLayer and add a rule for run_sql_query: 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 BaseQL MCP Server. Nothing to install.
run_sql_query 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_sql_query 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_sql_query. 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_sql_query is provided by the BaseQL MCP Server MCP server (jnix2007/baseql-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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