iterate_toward_goal

A read tool on the Livepilot MCP server.

SERVERLivepilot SOURCElivepilot

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-dreamrec-livepilot/iterate-toward-goal.md

WHAT IT DOES

What iterate_toward_goal does on Livepilot

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

RISK

Why iterate_toward_goal is rated Low

Even though iterate_toward_goal 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 iterate_toward_goal safely

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

iterate_toward_goal Allowed

iterate_toward_goal 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": {
    "iterate_toward_goal": {}
  }
}

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

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

FAQ

Questions about iterate_toward_goal

What does the iterate_toward_goal tool do? +

iterate_toward_goal is a read tool on the Livepilot MCP server. It is categorised as a Read tool in the Livepilot MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on iterate_toward_goal? +

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

What risk level is iterate_toward_goal? +

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

Can I rate-limit iterate_toward_goal? +

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

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

iterate_toward_goal is provided by the Livepilot MCP server (livepilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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