manage_grafana_dashboards · Observability MCP Server MCP

WHAT IT DOES

What manage_grafana_dashboards does on Observability MCP Server

AI agents use manage_grafana_dashboards to create or update resources in Observability MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Observability MCP Server environment.

WHY IT NEEDS A POLICY

Why manage_grafana_dashboards needs a policy

This tool modifies dashboard configurations and data within Grafana, which are reversible operations (dashboards can be updated or recreated). It does not execute arbitrary code, trigger external processes with unpredictable effects, permanently delete data, or handle financial transactions.

From the tool's definition Tool name 'manage_grafana_dashboards' and description 'Manage Grafana dashboards' indicates creation, modification, or configuration of dashboard resources. 'Manage' typically encompasses create, update, and potentially delete operations on dashboard state.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_grafana_dashboards Rate-limited

manage_grafana_dashboards stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_grafana_dashboards": {
      "limits": [
        {
          "counter": "manage_grafana_dashboards_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Observability MCP Server, so you can run agents against it safely.

FAQ

Questions about manage_grafana_dashboards

What does the manage_grafana_dashboards tool do? +

Manage Grafana dashboards. It is categorised as a Write tool in the Observability MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on manage_grafana_dashboards? +

Register the Observability MCP Server MCP server in PolicyLayer and add a rule for manage_grafana_dashboards: 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 Observability MCP Server. Nothing to install.

What risk level is manage_grafana_dashboards? +

manage_grafana_dashboards is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit manage_grafana_dashboards? +

Yes. Add a rate_limit block to the manage_grafana_dashboards 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 manage_grafana_dashboards completely? +

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

manage_grafana_dashboards is provided by the Observability MCP Server MCP server (sandraschi/observability-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.