wavexis_iframe_click

Click an element inside an iframe.

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-iframe-click.md

WHAT IT DOES

What wavexis_iframe_click does on Pypi:wavexis

AI agents invoke wavexis_iframe_click 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_iframe_click is rated High

Clicking elements is an interactive browser action that triggers external operations (form submissions, navigation, JavaScript handlers, etc.). The iframe context adds complexity and potential for cross-origin interactions.

From the tool's definition "Click an element inside an iframe" — performs a browser click action targeting elements within an iframe context

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs wavexis_iframe_click 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_iframe_click, this is the rule to start with:

wavexis_iframe_click Rate-limited

wavexis_iframe_click 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_iframe_click": {
      "limits": [
        {
          "counter": "wavexis_iframe_click_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_iframe_click call is checked against it from then on.

FAQ

Questions about wavexis_iframe_click

What does the wavexis_iframe_click tool do? +

Click an element inside an iframe. 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_iframe_click? +

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

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

Can I rate-limit wavexis_iframe_click? +

Yes. Add a rate_limit block to the wavexis_iframe_click 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_iframe_click completely? +

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

wavexis_iframe_click 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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