High Risk →

execute_with_plan

Execute an objective using a pre-created execution plan with well-defined agent tasks

How to control execute_with_plan ↓

AI agents invoke execute_with_plan to trigger actions in ZMCPTools. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

This tool executes code/operations via orchestrated agent tasks rather than simple data retrieval or modification. While the plan may constrain what happens, the tool itself initiates execution of potentially arbitrary agent workflows. This is Execute rather than Write because it triggers autonomous operations with unpredictable side effects.

From the tool's definition Tool name contains 'execute' and description states it executes an objective by running 'agent tasks' from a plan. The tool triggers external operations (agent task execution) whose effects depend on the plan contents and arguments provided.

Documented attack patterns abuse exactly the kind of access execute_with_plan gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and ZMCPTools, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_with_plan:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_with_plan": {
      "limits": [
        {
          "counter": "execute_with_plan_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

execute_with_plan stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register ZMCPTools — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the execute_with_plan tool do? +

Execute an objective using a pre-created execution plan with well-defined agent tasks. It is categorised as a Execute tool in the ZMCPTools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_with_plan? +

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

What risk level is execute_with_plan? +

execute_with_plan is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_with_plan? +

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

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

execute_with_plan is provided by the ZMCPTools MCP server (zachhandley/zmcptools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ZMCPTools tool call.

Deterministic rules across all 70 ZMCPTools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

70 ZMCPTools tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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