This record as markdown: /tools/wavexis-mcp/wavexis-debug-resume.md
What wavexis_debug_resume does on Wavexis
AI agents invoke wavexis_debug_resume 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_debug_resume is rated High
This tool resumes paused script execution in a browser debugging context. It directly controls program execution flow, which falls under the Execute category. Misuse could allow an AI agent to resume malicious or unintended script execution, potentially triggering harmful browser-side code. Severity is high given the browser automation context and the potential for resuming arbitrary scripts.
From the tool's definition 'Resume script execution' indicates this tool controls execution flow of scripts/debugger
Attacks that exploit this kind of access
The rule that runs wavexis_debug_resume 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_debug_resume, this is the rule to start with:
wavexis_debug_resume 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_debug_resume call is checked against it from then on.
Questions about wavexis_debug_resume
Resume script execution. 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_debug_resume: 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_debug_resume 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_debug_resume 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_debug_resume. 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_debug_resume 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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