forecast_metric

Forecast when a metric will breach a threshold using linear

SERVERLogicmonitor SOURCEpypi:lm-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ryanmat-logicmonitor/forecast-metric.md

WHAT IT DOES

What forecast_metric does on Logicmonitor

AI agents call forecast_metric to retrieve information from Logicmonitor without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why forecast_metric is rated Low

Even though forecast_metric only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs forecast_metric safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Logicmonitor, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For forecast_metric, this is the rule to start with:

forecast_metric Allowed

forecast_metric is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "forecast_metric": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Logicmonitor, apply this rule, and every forecast_metric call is checked against it from then on.

FAQ

Questions about forecast_metric

What does the forecast_metric tool do? +

Forecast when a metric will breach a threshold using linear. It is categorised as a Read tool in the Logicmonitor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on forecast_metric? +

Register the Logicmonitor MCP server in PolicyLayer and add a rule for forecast_metric: 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 Logicmonitor. Nothing to install.

What risk level is forecast_metric? +

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

Can I rate-limit forecast_metric? +

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

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

forecast_metric is provided by the Logicmonitor MCP server (pypi:lm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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