wavexis_shadow_eval
A execute tool on the Pypi:wavexis MCP server.
This record as markdown: /tools/wavexis-mcp/wavexis-shadow-eval.md
What wavexis_shadow_eval does on Pypi:wavexis
AI agents invoke wavexis_shadow_eval to trigger actions in Pypi: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 Pypi: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 Pypi: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 Pypi:wavexis MCP server. It is categorised as a Execute tool in the Pypi:wavexis MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pypi: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 Pypi: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 Pypi: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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