High Risk →

connections.refresh

Re-run an integration

How to control connections.refresh ↓

AI agents invoke connections.refresh to trigger actions in Executor. 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 causes an external system (an integration) to execute or re-execute, which qualifies as Execute rather than Write. The severity is high because re-running integrations could trigger unexpected side effects, data synchronization, or API calls depending on what the integration does. The blast radius is significant if an agent misuses this without understanding the integration's actual effects.

From the tool's definition Tool name 'connections.refresh' and description 'Re-run an integration' indicate the tool triggers execution of an external integration or process.

Documented attack patterns abuse exactly the kind of access connections.refresh gives an agent:

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

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

connections.refresh 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 Executor — 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 →

Free to start. No card required.

Go deeper

What does the connections.refresh tool do? +

Re-run an integration. It is categorised as a Execute tool in the Executor MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on connections.refresh? +

Register the Executor MCP server in PolicyLayer and add a rule for connections.refresh: 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 Executor. Nothing to install.

What risk level is connections.refresh? +

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

Can I rate-limit connections.refresh? +

Yes. Add a rate_limit block to the connections.refresh 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 connections.refresh completely? +

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

connections.refresh is provided by the Executor MCP server (rhyssullivan/executor). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Executor tool call.

Deterministic rules across all 29 Executor tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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