Retrieve a specific monitor configuration by ID from Mackerel. π USE THIS TOOL WHEN USERS: - Get details of a specific monitor <examples> Get monitor by ID \
AI agents call get_monitor 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.
This tool retrieves and queries existing monitor configuration data without modifying, deleting, or executing any operations. It is a straightforward read operation with no side effects, matching the Read category. Severity is low because retrieval of monitoring configurations poses minimal security risk even if misused by an AI agent.
From the tool's definition Tool name is 'get_monitor' and description states 'Retrieve a specific monitor configuration by ID from Mackerel.' The verb 'Retrieve' and the example 'Get monitor by ID' indicate a read-only operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_monitor 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_monitor:
{
"version": "1",
"default": "deny",
"tools": {
"get_monitor": {}
}
} get_monitor 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 a specific monitor configuration by ID from Mackerel. π USE THIS TOOL WHEN USERS: - Get details of a specific monitor <examples> Get monitor by ID \. 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_monitor: 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_monitor 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_monitor 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_monitor. 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_monitor 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.