wavexis_debug_step_into

Step into in the debugger.

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-step-into.md

WHAT IT DOES

What wavexis_debug_step_into does on Pypi:wavexis

AI agents invoke wavexis_debug_step_into 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_step_into is rated High

This tool controls a debugger's execution flow by stepping into code. It triggers active execution of code in a debugging context, which can have side effects depending on what code is being stepped through. Debugger control tools are Execute-category as they drive runtime behavior of programs.

From the tool's definition Step into in the debugger

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_debug_step_into 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_step_into, this is the rule to start with:

wavexis_debug_step_into Rate-limited

wavexis_debug_step_into 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_step_into": {
      "limits": [
        {
          "counter": "wavexis_debug_step_into_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_step_into call is checked against it from then on.

FAQ

Questions about wavexis_debug_step_into

What does the wavexis_debug_step_into tool do? +

Step into in the debugger. 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_step_into? +

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

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

Can I rate-limit wavexis_debug_step_into? +

Yes. Add a rate_limit block to the wavexis_debug_step_into 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_step_into completely? +

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

wavexis_debug_step_into 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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