update_action_chain

Update an action chain via PATCH; only provided fields are sent

SERVERLogicmonitor SOURCEpypi:lm-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-ryanmat-logicmonitor/update-action-chain.md

WHAT IT DOES

What update_action_chain does on Logicmonitor

AI agents use update_action_chain to create or update resources in Logicmonitor, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Logicmonitor environment.

RISK

Why update_action_chain is rated Medium

An AI agent can call update_action_chain faster than any human can review: one bad instruction and it creates or modifies resources in Logicmonitor by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_action_chain 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 update_action_chain, this is the rule to start with:

update_action_chain Rate-limited

update_action_chain stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_action_chain": {
      "limits": [
        {
          "counter": "update_action_chain_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about update_action_chain

What does the update_action_chain tool do? +

Update an action chain via PATCH; only provided fields are sent. It is categorised as a Write tool in the Logicmonitor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_action_chain? +

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

update_action_chain is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_action_chain? +

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

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

update_action_chain 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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