wavexis_service_worker_emulate
Emulate a service worker with a script URL.
This record as markdown: /tools/wavexis-mcp/wavexis-service-worker-emulate.md
What wavexis_service_worker_emulate does on Wavexis
AI agents invoke wavexis_service_worker_emulate to trigger actions in 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.
Why wavexis_service_worker_emulate is rated High
Emulating a service worker with a provided script URL constitutes code execution in a browser automation context. Service workers are powerful APIs that can intercept requests, manipulate responses, and run arbitrary JavaScript. An LLM agent given this tool could inject malicious service worker code, compromise request/response handling, or execute unintended operations.
From the tool's definition Tool name contains 'emulate' and description states 'Emulate a service worker with a script URL.' Service workers are executable JavaScript contexts that intercept network requests and run custom logic.
Attacks that exploit this kind of access
The rule that runs wavexis_service_worker_emulate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Wavexis, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For wavexis_service_worker_emulate, this is the rule to start with:
wavexis_service_worker_emulate 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Wavexis, apply this rule, and every wavexis_service_worker_emulate call is checked against it from then on.
Questions about wavexis_service_worker_emulate
Emulate a service worker with a script URL. It is categorised as a Execute tool in the Wavexis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Wavexis MCP server in PolicyLayer and add a rule for wavexis_service_worker_emulate: 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 Wavexis. Nothing to install.
wavexis_service_worker_emulate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the wavexis_service_worker_emulate 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.
Set action: deny in the PolicyLayer policy for wavexis_service_worker_emulate. 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.
wavexis_service_worker_emulate is provided by the 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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