read_resource

Read properties of a Godot Resource file.

Server Godot MCP Server neondeex/godotmcp-pro-free-client
Category Read
Risk class Low
Parameters 00 required

What read_resource does on Godot MCP Server

AI agents call read_resource 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.

Why read_resource needs a policy

This tool performs data retrieval only—it reads and queries properties from Godot Resource files without creating, modifying, deleting, or executing anything. It has no side effects and falls squarely under the Read category. The low severity reflects minimal risk even if misused by an AI agent, as it only exposes existing resource metadata.

From the tool's definition Tool name 'read_resource' and description 'Read properties of a Godot Resource file' explicitly indicate retrieval of data without modification or execution.

Questions about read_resource

What does the read_resource tool do? +

Read properties of a Godot Resource file. It is categorised as a Read tool in the Godot MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_resource? +

Register the Godot MCP Server MCP server in PolicyLayer and add a rule for read_resource: 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.

What risk level is read_resource? +

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

Can I rate-limit read_resource? +

Yes. Add a rate_limit block to the read_resource 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 read_resource completely? +

Set action: deny in the PolicyLayer policy for read_resource. 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 read_resource? +

read_resource 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.

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