High Risk →

query_loki_logs

Execute a LogQL query against a Loki datasource and return the matching log entries.

How to control query_loki_logs ↓

What query_loki_logs does on Grafana FastMCP Server

AI agents invoke query_loki_logs to trigger actions in Grafana FastMCP 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.

High Risk

Why query_loki_logs needs a policy

The tool actively executes a query (LogQL) against an external Loki datasource. While it primarily retrieves log data (read-like behavior), it runs arbitrary query logic against an external system, placing it in the Execute category. Misuse could expose sensitive log data or cause performance issues on the Loki instance with expensive queries, warranting medium severity.

From the tool's definition "Execute a LogQL query against a Loki datasource" — the tool runs an arbitrary LogQL query against an external system

Documented attack patterns abuse exactly the kind of access query_loki_logs gives an agent:

How to control query_loki_logs

PolicyLayer is an MCP gateway — it sits between your AI agents and Grafana FastMCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for query_loki_logs:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_loki_logs": {
      "limits": [
        {
          "counter": "query_loki_logs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

query_loki_logs 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.

  1. Create a free account and register Grafana FastMCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about query_loki_logs

What does the query_loki_logs tool do? +

Execute a LogQL query against a Loki datasource and return the matching log entries. It is categorised as a Execute tool in the Grafana FastMCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on query_loki_logs? +

Register the Grafana FastMCP Server MCP server in PolicyLayer and add a rule for query_loki_logs: 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 Grafana FastMCP Server. Nothing to install.

What risk level is query_loki_logs? +

query_loki_logs is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit query_loki_logs? +

Yes. Add a rate_limit block to the query_loki_logs 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_loki_logs completely? +

Set action: deny in the PolicyLayer policy for query_loki_logs. 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_loki_logs? +

query_loki_logs is provided by the Grafana FastMCP Server MCP server (sandersouza/grafanafastmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Grafana FastMCP Server tool call.

Start from Grafana FastMCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

45 Grafana FastMCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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