wavexis_multi_action

Execute multiple actions from a YAML config sequentially.

SERVERPypi:wavexis SOURCEMathiasPaulenko/wavexis-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/wavexis-mcp/wavexis-multi-action.md

WHAT IT DOES

What wavexis_multi_action does on Pypi:wavexis

AI agents invoke wavexis_multi_action to trigger actions in Pypi:wavexis. 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.

RISK

Why wavexis_multi_action is rated High

This tool triggers external operations (browser actions via wavexis) whose effects are determined by user-supplied YAML configuration. It is not merely reading data (Read), nor is it limited to reversible data creation (Write).

From the tool's definition Tool description states 'Execute multiple actions from a YAML config sequentially.' The verb 'Execute' directly indicates code/action execution.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_multi_action safely

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

wavexis_multi_action Rate-limited

wavexis_multi_action 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": {
    "wavexis_multi_action": {
      "limits": [
        {
          "counter": "wavexis_multi_action_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about wavexis_multi_action

What does the wavexis_multi_action tool do? +

Execute multiple actions from a YAML config sequentially. It is categorised as a Execute tool in the Pypi:wavexis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on wavexis_multi_action? +

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

What risk level is wavexis_multi_action? +

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

Can I rate-limit wavexis_multi_action? +

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

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

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

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