Retrieve metrics data for a specific service from Mackerel. π USE THIS TOOL WHEN USERS: -
AI agents call get_service_metrics to retrieve information from Mackerel MCP Server without modifying anything β typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves monitoring metrics data from the Mackerel platform. The verb 'Retrieve' and the query-like nature of fetching metrics data confirm this is a Read operation. No data is modified, deleted, or executed. The blast radius is minimal since it only exposes existing metric information. Confidence is high based on clear descriptive language indicating a simple data fetch operation.
From the tool's definition Tool name 'get_service_metrics' and description 'Retrieve metrics data for a specific service from Mackerel' indicate a data retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_service_metrics gives an agent:
PolicyLayer is an MCP gateway β it sits between your AI agents and Mackerel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_service_metrics:
{
"version": "1",
"default": "deny",
"tools": {
"get_service_metrics": {}
}
} get_service_metrics is read-only, so it stays allowed β but everything else on the server is denied unless you say otherwise.
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Retrieve metrics data for a specific service from Mackerel. π USE THIS TOOL WHEN USERS: -. It is categorised as a Read tool in the Mackerel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Mackerel MCP Server MCP server in PolicyLayer and add a rule for get_service_metrics: 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 Mackerel MCP Server. Nothing to install.
get_service_metrics is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_service_metrics 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 get_service_metrics. 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.
get_service_metrics is provided by the Mackerel MCP Server MCP server (mackerelio-labs/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mackerel MCP 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.
16 Mackerel MCP Server tools catalogued and risk-classified β across an index of 43,000+ MCP servers.