plan_agent_builder

SERVERProAgentStore SOURCEhttps://mcp.proagentstore.online/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-proagentstore-platform/plan-agent-builder.md

WHAT IT DOES

What plan_agent_builder does on ProAgentStore

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

RISK

Why plan_agent_builder is rated Medium

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

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs plan_agent_builder safely

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

plan_agent_builder Rate-limited

plan_agent_builder 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": {
    "plan_agent_builder": {
      "limits": [
        {
          "counter": "plan_agent_builder_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 ProAgentStore, apply this rule, and every plan_agent_builder call is checked against it from then on.

FAQ

Questions about plan_agent_builder

What does the plan_agent_builder tool do? +

Turn a natural-language request into the deterministic agent-builder plan the creator UI uses: proposed template fields, runtime, connectors, warnings and the action it would take. Planning changes nothing; inspect this result before execute_agent_builder_plan. It is categorised as a Write tool in the ProAgentStore MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on plan_agent_builder? +

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

What risk level is plan_agent_builder? +

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

Can I rate-limit plan_agent_builder? +

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

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

plan_agent_builder is provided by the ProAgentStore MCP server (https://mcp.proagentstore.online/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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