This record as markdown: /tools/wavexis-mcp/wavexis-check.md
What wavexis_check does on Wavexis
AI agents invoke wavexis_check 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_check is rated High
Checking a checkbox or radio button is a browser automation action that modifies UI state and can trigger downstream effects (form submissions, state changes, workflows). It falls under Execute as it performs an interactive browser action whose consequences depend on the target element and page context.
From the tool's definition Check a checkbox or radio button — triggers a browser UI interaction (clicking/toggling a form element) which constitutes a browser action with external side effects depending on the target element
Attacks that exploit this kind of access
The rule that runs wavexis_check 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_check, this is the rule to start with:
wavexis_check 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_check call is checked against it from then on.
Questions about wavexis_check
Check a checkbox or radio button. 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_check: 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_check 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_check 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_check. 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_check 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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