This record as markdown: /tools/io-github-portel-dev-ncp/execute-query.md
What execute_query does on Ncp
AI agents invoke execute_query to trigger actions in Ncp. 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.
Why execute_query is rated High
This tool allows running SQL queries against a database, which is a code execution operation. While it could theoretically include read-only queries (Read category), it also permits write, update, and delete operations depending on the SQL provided. Given that SQL execution is inherently dangerous and can modify or destroy data based on input arguments, this falls into Execute category.
From the tool's definition Tool name is 'execute_query' and description states 'Execute SQL query on PlanetScale database'. The verb 'Execute' combined with 'SQL query' indicates arbitrary SQL execution capability.
Attacks that exploit this kind of access
The rule that runs execute_query safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ncp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For execute_query, this is the rule to start with:
execute_query stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ncp, apply this rule, and every execute_query call is checked against it from then on.
Questions about execute_query
Execute SQL query on PlanetScale database. It is categorised as a Execute tool in the Ncp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ncp MCP server in PolicyLayer and add a rule for execute_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 Ncp. Nothing to install.
execute_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 execute_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 execute_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.
execute_query is provided by the Ncp MCP server (@portel/ncp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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