webgpu_capture_commands
Capture GPU command queue submissions (render passes, compute dispatches). Used for analyzing GPU workload and detecting malicious shader behavior.
This record as markdown: /tools/io-github-vmoranv-jshookmcp/webgpu-capture-commands.md
What webgpu_capture_commands does on Jshookmcp
AI agents call webgpu_capture_commands to retrieve information from Jshookmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why webgpu_capture_commands is rated Low
The tool captures/records GPU command submissions for analysis purposes — this is fundamentally a read/observation operation. However, it operates at a low system level (GPU command queue), which could expose sensitive rendering data or shader code. Severity is medium because of the potential to leak sensitive GPU workloads, but it does not modify, execute, or destroy data on its own.
From the tool's definition Capture GPU command queue submissions (render passes, compute dispatches). Used for analyzing GPU workload and detecting malicious shader behavior.
Attacks that exploit this kind of access
The rule that runs webgpu_capture_commands safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For webgpu_capture_commands, this is the rule to start with:
webgpu_capture_commands is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every webgpu_capture_commands call is checked against it from then on.
Questions about webgpu_capture_commands
Capture GPU command queue submissions (render passes, compute dispatches). Used for analyzing GPU workload and detecting malicious shader behavior. It is categorised as a Read tool in the Jshookmcp MCP Server, which means it retrieves data without modifying state.
Register the Jshook MCP server in PolicyLayer and add a rule for webgpu_capture_commands: 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 Jshookmcp. Nothing to install.
webgpu_capture_commands is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the webgpu_capture_commands 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 webgpu_capture_commands. 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.
webgpu_capture_commands is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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