get_batchjob

Get details about a specific batch job

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/get-batchjob.md

WHAT IT DOES

What get_batchjob does on Logicmonitor

AI agents call get_batchjob 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 get_batchjob is rated Low

Even though get_batchjob 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 get_batchjob 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 get_batchjob, this is the rule to start with:

get_batchjob Allowed

get_batchjob 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": {
    "get_batchjob": {}
  }
}

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 get_batchjob call is checked against it from then on.

FAQ

Questions about get_batchjob

What does the get_batchjob tool do? +

Get details about a specific batch job. 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 get_batchjob? +

Register the Logicmonitor MCP server in PolicyLayer and add a rule for get_batchjob: 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 get_batchjob? +

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

Can I rate-limit get_batchjob? +

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

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

get_batchjob 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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