wavexis_debug_pause

Pause script execution.

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-debug-pause.md

WHAT IT DOES

What wavexis_debug_pause does on Pypi:wavexis

AI agents invoke wavexis_debug_pause 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_debug_pause is rated High

This tool controls script execution flow by pausing it, which is an execution-level operation. Misuse could stall or hang automated browser sessions, causing denial-of-service-like effects on running workflows. It doesn't read/write data or perform destructive/financial actions, but it actively intervenes in execution state.

From the tool's definition Pause script execution

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_debug_pause 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_debug_pause, this is the rule to start with:

wavexis_debug_pause Rate-limited

wavexis_debug_pause 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_debug_pause": {
      "limits": [
        {
          "counter": "wavexis_debug_pause_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_debug_pause call is checked against it from then on.

FAQ

Questions about wavexis_debug_pause

What does the wavexis_debug_pause tool do? +

Pause script execution. 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_debug_pause? +

Register the Pypi:wavexis MCP server in PolicyLayer and add a rule for wavexis_debug_pause: 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_debug_pause? +

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

Can I rate-limit wavexis_debug_pause? +

Yes. Add a rate_limit block to the wavexis_debug_pause 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_debug_pause completely? +

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

wavexis_debug_pause 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.

KEEP EXPLORING

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