wavexis_mouse_up
Release a mouse button at the given coordinates.
This record as markdown: /tools/wavexis-mcp/wavexis-mouse-up.md
What wavexis_mouse_up does on Pypi:wavexis
AI agents invoke wavexis_mouse_up 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_mouse_up is rated High
This tool simulates a hardware mouse button release event at specified coordinates in a browser automation context. It triggers browser/UI interactions whose effects depend entirely on what element is at those coordinates — could submit forms, trigger downloads, activate UI controls, etc. This is an external operation execution, not a simple read or write of data.
From the tool's definition Release a mouse button at the given coordinates
Attacks that exploit this kind of access
The rule that runs wavexis_mouse_up 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_mouse_up, this is the rule to start with:
wavexis_mouse_up 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_mouse_up call is checked against it from then on.
Questions about wavexis_mouse_up
Release a mouse button at the given coordinates. 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_mouse_up: 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_mouse_up 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_mouse_up 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_mouse_up. 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_mouse_up 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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