wavexis_shadow_eval
A execute tool on the Wavexis MCP server.
This record as markdown: /tools/wavexis-mcp/wavexis-shadow-eval.md
What wavexis_shadow_eval does on Wavexis
AI agents invoke wavexis_shadow_eval 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_shadow_eval is rated High
The 'eval' suffix in the tool name is a strong indicator of arbitrary code execution capability. In browser automation contexts, shadow_eval typically executes JavaScript code within Shadow DOM contexts. Despite the empty description (which lowers confidence slightly), the naming convention is a well-established pattern for code evaluation.
From the tool's definition Tool name contains 'eval' which strongly implies arbitrary code execution; 'shadow' likely refers to Shadow DOM context in browser automation
Attacks that exploit this kind of access
The rule that runs wavexis_shadow_eval 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_shadow_eval, this is the rule to start with:
wavexis_shadow_eval 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_shadow_eval call is checked against it from then on.
Questions about wavexis_shadow_eval
wavexis_shadow_eval is a execute tool on the Wavexis MCP server. 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_shadow_eval: 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_shadow_eval 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_shadow_eval 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_shadow_eval. 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_shadow_eval 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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