viewer_status

Reports whether a PyNet BIM Viewer is open in VS Code (port, package, data dir).

Server PyNet Bridge rafael-nunezdearenas/pynetbridge
Category Read
Risk class Low
Parameters 00 required

What viewer_status does on PyNet Bridge

AI agents call viewer_status to retrieve information from PyNet Bridge without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why viewer_status needs a policy

This tool retrieves current state information (port, package, data directory) about a running PyNet BIM Viewer without altering any data or triggering side effects. It is a pure read operation with minimal security impact—the returned information could reveal system configuration details, but cannot be exploited to modify, delete, or execute code.

From the tool's definition Tool name 'viewer_status' and description 'Reports whether a PyNet BIM Viewer is open in VS Code' indicate a query operation that retrieves status information about an open viewer. No modification, deletion, execution, or financial operations are performed.

Questions about viewer_status

What does the viewer_status tool do? +

Reports whether a PyNet BIM Viewer is open in VS Code (port, package, data dir). It is categorised as a Read tool in the PyNet Bridge MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on viewer_status? +

Register the PyNet Bridge MCP server in PolicyLayer and add a rule for viewer_status: 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 PyNet Bridge. Nothing to install.

What risk level is viewer_status? +

viewer_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit viewer_status? +

Yes. Add a rate_limit block to the viewer_status 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.

How do I block viewer_status completely? +

Set action: deny in the PolicyLayer policy for viewer_status. 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.

What MCP server provides viewer_status? +

viewer_status is provided by the PyNet Bridge MCP server (rafael-nunezdearenas/pynetbridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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