This record as markdown: /tools/wavexis-mcp/wavexis-key-press.md
What wavexis_key_press does on Wavexis
AI agents invoke wavexis_key_press 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_key_press is rated High
Pressing keyboard keys triggers browser actions whose effects depend entirely on the current context and arguments. A key press could submit forms, trigger shortcuts, delete content, navigate pages, or execute commands. This is a browser action/execution with potentially wide-ranging side effects, making Execute the appropriate category with high severity due to the unpredictable blast radius.
From the tool's definition "Press a keyboard key" — simulates keyboard input in a browser automation context
Attacks that exploit this kind of access
The rule that runs wavexis_key_press 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_key_press, this is the rule to start with:
wavexis_key_press 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_key_press call is checked against it from then on.
Questions about wavexis_key_press
Press a keyboard key. 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_key_press: 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_key_press 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_key_press 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_key_press. 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_key_press 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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