Read the GLSL source of a shader file.
AI agents call read_shader to retrieve information from Godot MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries shader source code from files without creating, modifying, or deleting any data. It has no side effects beyond returning information to the caller, fitting the Read category definition of retrieving or querying data.
From the tool's definition Tool name is 'read_shader' and description states 'Read the GLSL source of a shader file.' The verb 'read' and action of retrieving shader source code indicate data retrieval with no modification.
Attacks that exploit this kind of access
Read the GLSL source of a shader file. It is categorised as a Read tool in the Godot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Godot MCP Server MCP server in PolicyLayer and add a rule for read_shader: 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 Godot MCP Server. Nothing to install.
read_shader 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 read_shader 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 read_shader. 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.
read_shader is provided by the Godot MCP Server MCP server (neondeex/godotmcp-pro-free-client). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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