lobbywatch_refresh_dump · Pypi:lobbywatch MCP: Risk & Policy

WHAT IT DOES

What lobbywatch_refresh_dump does on Pypi:lobbywatch

AI agents invoke lobbywatch_refresh_dump to trigger actions in Pypi:lobbywatch. 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.

WHY IT NEEDS A POLICY

Why lobbywatch_refresh_dump needs a policy

The name 'refresh_dump' suggests triggering a data refresh or regeneration of a database dump, which is an external operation with side effects. In the context of the Lobbywatch.ch database server, this likely re-fetches or re-exports the underlying dataset. Because the description is empty, confidence is low, but 'refresh' implies an active operation (Execute) rather than a simple read.

From the tool's definition Tool name contains 'refresh_dump' — description is empty and uninformative, so classification relies solely on the name.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

lobbywatch_refresh_dump Rate-limited

lobbywatch_refresh_dump 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "lobbywatch_refresh_dump": {
      "limits": [
        {
          "counter": "lobbywatch_refresh_dump_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Pypi:lobbywatch, so you can run agents against it safely.

FAQ

Questions about lobbywatch_refresh_dump

What does the lobbywatch_refresh_dump tool do? +

lobbywatch_refresh_dump. It is categorised as a Execute tool in the Pypi:lobbywatch MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on lobbywatch_refresh_dump? +

Register the Pypi:lobbywatch MCP server in PolicyLayer and add a rule for lobbywatch_refresh_dump: 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 Pypi:lobbywatch. Nothing to install.

What risk level is lobbywatch_refresh_dump? +

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

Can I rate-limit lobbywatch_refresh_dump? +

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

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

lobbywatch_refresh_dump is provided by the Pypi:lobbywatch MCP server (pypi:lobbywatch-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.