wavexis_grant_permission
Grant a browser permission (geolocation, notifications, etc.).
This record as markdown: /tools/wavexis-mcp/wavexis-grant-permission.md
What wavexis_grant_permission does on Pypi:wavexis
AI agents invoke wavexis_grant_permission 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_grant_permission is rated High
Granting browser permissions changes the browser's security posture by enabling capabilities like geolocation tracking or notifications. This is an external operation that triggers a security-relevant state change in the browser environment. It doesn't merely read or write data, but actively modifies what a site is allowed to do, which could enable further privacy violations or attacks.
From the tool's definition Grant a browser permission (geolocation, notifications, etc.)
Attacks that exploit this kind of access
The rule that runs wavexis_grant_permission 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_grant_permission, this is the rule to start with:
wavexis_grant_permission 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_grant_permission call is checked against it from then on.
Questions about wavexis_grant_permission
Grant a browser permission (geolocation, notifications, etc.). 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_grant_permission: 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_grant_permission 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_grant_permission 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_grant_permission. 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_grant_permission 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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