reload_plugin
Reload editor plugins (triggers plugin re-initialization)
This record as markdown: /tools/keeveeg-godot-mcp/reload-plugin.md
What reload_plugin does on Godot
AI agents invoke reload_plugin to trigger actions in Godot. 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 reload_plugin is rated High
This tool triggers a re-initialization process in the Godot editor, which is an external operation with side effects. It executes an action (plugin reload) that causes code to run and state to change in the editor environment. It's not purely destructive, financial, or a simple read/write, but it does execute an operation that modifies the running state of the editor.
From the tool's definition Reload editor plugins (triggers plugin re-initialization)
Attacks that exploit this kind of access
The rule that runs reload_plugin safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Godot, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For reload_plugin, this is the rule to start with:
reload_plugin 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 Godot, apply this rule, and every reload_plugin call is checked against it from then on.
Questions about reload_plugin
Reload editor plugins (triggers plugin re-initialization). It is categorised as a Execute tool in the Godot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Godot MCP server in PolicyLayer and add a rule for reload_plugin: 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. Nothing to install.
reload_plugin 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 reload_plugin 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 reload_plugin. 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.
reload_plugin is provided by the Godot MCP server (@keeveeg/godot-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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