Run a read-only SQL query
AI agents invoke query to trigger actions in Server Puppeteer. 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.
Although described as read-only, the tool executes SQL queries which can be complex, resource-intensive, or potentially bypass read-only restrictions depending on implementation. It runs code/queries against external systems, placing it in the Execute category. The 'read-only' qualifier lowers severity somewhat but cannot be fully trusted without implementation details.
From the tool's definition 'Run a read-only SQL query' — executes SQL against a database
Attacks that exploit this kind of access
Run a read-only SQL query. It is categorised as a Execute tool in the Server Puppeteer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Server Puppeteer MCP server in PolicyLayer and add a rule for 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 Server Puppeteer. Nothing to install.
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 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 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.
query is provided by the Server Puppeteer MCP server (@hisma/server-puppeteer). 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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