This record as markdown: /tools/io-github-portel-dev-ncp/query-nrql.md
What query_nrql does on Ncp
AI agents invoke query_nrql 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 query_nrql is rated High
NRQL (New Relic Query Language) queries are executed against New Relic's data platform. While typical NRQL queries are read-only analytics queries, the tool description says 'Execute NRQL query' without any restriction on query type. NRQL can include mutation operations in some contexts, and the explicit 'Execute' framing places this in the Execute category.
From the tool's definition Tool name 'query_nrql' and description 'Execute NRQL query' — the word 'Execute' explicitly indicates running a query against a database/observability platform (New Relic Query Language).
Attacks that exploit this kind of access
The rule that runs query_nrql 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 query_nrql, this is the rule to start with:
query_nrql 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 query_nrql call is checked against it from then on.
Questions about query_nrql
Execute NRQL query. 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 query_nrql: 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.
query_nrql 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_nrql 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_nrql. 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_nrql 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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