wavexis_set_viewport

Set a custom viewport size and scale factor.

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-set-viewport.md

WHAT IT DOES

What wavexis_set_viewport does on Pypi:wavexis

AI agents invoke wavexis_set_viewport 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_set_viewport is rated High

This tool modifies the browser's viewport settings (size and scale factor), which is a browser execution action affecting the state of the browser session. It's not purely reading data, nor does it write persistent data or cause destructive/financial effects. It triggers an external operation (changing the browser viewport) whose effect depends on the arguments provided, placing it in the Execute category.

From the tool's definition "Set a custom viewport size and scale factor" — modifies browser session configuration

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_set_viewport 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_set_viewport, this is the rule to start with:

wavexis_set_viewport Rate-limited

wavexis_set_viewport 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_set_viewport": {
      "limits": [
        {
          "counter": "wavexis_set_viewport_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_set_viewport call is checked against it from then on.

FAQ

Questions about wavexis_set_viewport

What does the wavexis_set_viewport tool do? +

Set a custom viewport size and scale factor. 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_set_viewport? +

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

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

Can I rate-limit wavexis_set_viewport? +

Yes. Add a rate_limit block to the wavexis_set_viewport 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_set_viewport completely? +

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

wavexis_set_viewport 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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