class_reference
Full engine-class reference via ClassDB: method SIGNATURES (return type + typed args), signal
This record as markdown: /tools/godot-breakpoint-mcp/class-reference.md
What class_reference does on Godot Breakpoint
AI agents call class_reference to retrieve information from Godot Breakpoint without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why class_reference is rated Low
This tool retrieves read-only reference documentation from Godot's ClassDB, including method signatures and signals. It queries and returns data with no side effects.
From the tool's definition Full engine-class reference via ClassDB: method SIGNATURES (return type + typed args), signal
Attacks that exploit this kind of access
The rule that runs class_reference safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Godot Breakpoint, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For class_reference, this is the rule to start with:
class_reference 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 Godot Breakpoint, apply this rule, and every class_reference call is checked against it from then on.
Questions about class_reference
Full engine-class reference via ClassDB: method SIGNATURES (return type + typed args), signal. It is categorised as a Read tool in the Godot Breakpoint MCP Server, which means it retrieves data without modifying state.
Register the Godot Breakpoint MCP server in PolicyLayer and add a rule for class_reference: 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 Breakpoint. Nothing to install.
class_reference 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 class_reference 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 class_reference. 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.
class_reference is provided by the Godot Breakpoint MCP server (jlivingston-Cipher/godot-breakpoint-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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