Low Risk

query_prometheus

WORKFLOW: list_prometheus_metric_names -> list_prometheus_label_values -> query_prometheus. Query a PromQL-compatible datasource (Prometheus, Thanos, Mimir, Cloud Monitoring, etc.) using a PromQL expression. Supports instant queries (single point) and range queries (time range). Time: RFC3339 or ...

Part of the Mcp Grafana Npx server.

query_prometheus is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call query_prometheus to retrieve information from Mcp Grafana Npx without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though query_prometheus only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_prometheus": {}
  }
}

See the full Mcp Grafana Npx policy for all 52 tools.

Get this rule live on your own Mcp Grafana Npx server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access query_prometheus gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so query_prometheus only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the query_prometheus tool do? +

WORKFLOW: list_prometheus_metric_names -> list_prometheus_label_values -> query_prometheus. Query a PromQL-compatible datasource (Prometheus, Thanos, Mimir, Cloud Monitoring, etc.) using a PromQL expression. Supports instant queries (single point) and range queries (time range). Time: RFC3339 or relative expressions like 'now'\, 'now-1h'.. It is categorised as a Read tool in the Mcp Grafana Npx MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on query_prometheus? +

Register the Mcp Grafana Npx MCP server in PolicyLayer and add a rule for query_prometheus: 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 Mcp Grafana Npx. Nothing to install.

What risk level is query_prometheus? +

query_prometheus is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit query_prometheus? +

Yes. Add a rate_limit block to the query_prometheus 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.

How do I block query_prometheus completely? +

Set action: deny in the PolicyLayer policy for query_prometheus. 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.

What MCP server provides query_prometheus? +

query_prometheus is provided by the Mcp Grafana Npx MCP server (mcp-grafana-npx). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Grafana Npx tool call.

Deterministic rules across all 52 Mcp Grafana Npx tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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