This record as markdown: /tools/keeveeg-godot-mcp/get-output-log.md
What get_output_log does on Godot
AI agents call get_output_log to retrieve information from Godot without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_output_log is rated Low
This tool retrieves and queries diagnostic/logging information from the Godot editor without creating, modifying, or deleting data. It is a pure read operation with minimal security risk—log contents are typically diagnostic output that an agent would review for troubleshooting purposes.
From the tool's definition Tool name 'get_output_log' and description 'Get the contents of the editor output log' indicate retrieval of existing log data with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_output_log 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 get_output_log, this is the rule to start with:
get_output_log 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, apply this rule, and every get_output_log call is checked against it from then on.
Questions about get_output_log
Get the contents of the editor output log. It is categorised as a Read tool in the Godot MCP Server, which means it retrieves data without modifying state.
Register the Godot MCP server in PolicyLayer and add a rule for get_output_log: 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.
get_output_log 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 get_output_log 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 get_output_log. 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.
get_output_log 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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