get_object_info
AI agents call get_object_info to retrieve information from GameDevBench MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears designed to retrieve information about game objects (likely Godot scene objects) for inspection and analysis during benchmarking, similar to introspection operations. No side effects, data modification, code execution, or destructive actions are implied.
From the tool's definition Tool name 'get_object_info' suggests retrieval of object metadata or state information with no modification.
Attacks that exploit this kind of access
get_object_info. It is categorised as a Read tool in the GameDevBench MCP MCP Server, which means it retrieves data without modifying state.
Register the GameDevBench MCP server in PolicyLayer and add a rule for get_object_info: 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 GameDevBench MCP. Nothing to install.
get_object_info 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_object_info 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_object_info. 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_object_info is provided by the GameDevBench MCP server (seeleai/gamedevbench-mcp). 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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