Low Risk

list_oncall_schedules

list_oncall_schedules

How to control list_oncall_schedules ↓

What list_oncall_schedules does on Grafana FastMCP Server

AI agents call list_oncall_schedules to retrieve information from Grafana FastMCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why list_oncall_schedules needs a policy

This tool queries and retrieves on-call schedule information without modifying, executing external operations, or deleting data. It follows the Read pattern of non-destructive data retrieval. Confidence is slightly less than 1.0 due to empty tool description, but the name and server context provide strong evidence of read-only intent.

From the tool's definition Tool name 'list_oncall_schedules' indicates retrieval of on-call schedule data. Server description explicitly mentions 'accessing observability data' and 'managing alerts, incidents, and on-call shifts'.

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

How to control list_oncall_schedules

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 list_oncall_schedules:

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

list_oncall_schedules is read-only, so it stays allowed — but 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 list_oncall_schedules

What does the list_oncall_schedules tool do? +

list_oncall_schedules. It is categorised as a Read tool in the Grafana FastMCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_oncall_schedules? +

Register the Grafana FastMCP Server MCP server in PolicyLayer and add a rule for list_oncall_schedules: 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 list_oncall_schedules? +

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

Can I rate-limit list_oncall_schedules? +

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

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

list_oncall_schedules 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.

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

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