webgpu_shader_compile
Compile WGSL shader and extract metadata (entry points, bindings, attributes). Validates shader code and detects potential security issues.
This record as markdown: /tools/io-github-vmoranv-jshookmcp/webgpu-shader-compile.md
What webgpu_shader_compile does on Jshookmcp
AI agents invoke webgpu_shader_compile to trigger actions in Jshookmcp. 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 webgpu_shader_compile is rated High
Shader compilation is a form of code execution—the tool processes and compiles user-supplied shader language code. While the primary stated purpose is metadata extraction and validation rather than destructive operations, compiling untrusted shader code can trigger GPU-level execution or expose implementation details.
From the tool's definition Tool compiles WGSL shader code and performs validation, which involves executing code compilation logic. The description states it 'compiles WGSL shader' and 'detects potential security issues,' indicating code execution and analysis that could have side…
Attacks that exploit this kind of access
The rule that runs webgpu_shader_compile 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_shader_compile, this is the rule to start with:
webgpu_shader_compile 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 Jshookmcp, apply this rule, and every webgpu_shader_compile call is checked against it from then on.
Questions about webgpu_shader_compile
Compile WGSL shader and extract metadata (entry points, bindings, attributes). Validates shader code and detects potential security issues. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Jshook MCP server in PolicyLayer and add a rule for webgpu_shader_compile: 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_shader_compile 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 webgpu_shader_compile 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_shader_compile. 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_shader_compile 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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