unity_profiler_memory
Get detailed memory usage breakdown: total allocated, reserved, Mono heap used/size, graphics driver memory, temp allocator size, and GC info. Values are returned in both bytes and human-readable MB.
This record as markdown: /tools/anklebreaker-studio-unity-mcp-server/unity-profiler-memory.md
What unity_profiler_memory does on Unity MCP Server
AI agents call unity_profiler_memory to retrieve information from Unity MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why unity_profiler_memory is rated Low
This tool queries and returns memory profiling metrics (allocated memory, Mono heap, graphics memory, etc.) from the Unity profiler. It performs no side effects, creates no resources, executes no code, and does not modify any state. It is purely informational retrieval, fitting the 'Read' category.
From the tool's definition Tool name 'unity_profiler_memory' and description 'Get detailed memory usage breakdown' indicates a read-only operation that retrieves profiling data without modifying or executing anything.
Attacks that exploit this kind of access
The rule that runs unity_profiler_memory safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Unity MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For unity_profiler_memory, this is the rule to start with:
unity_profiler_memory 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 Unity MCP Server, apply this rule, and every unity_profiler_memory call is checked against it from then on.
Questions about unity_profiler_memory
Get detailed memory usage breakdown: total allocated, reserved, Mono heap used/size, graphics driver memory, temp allocator size, and GC info. Values are returned in both bytes and human-readable MB. It is categorised as a Read tool in the Unity MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unity MCP Server MCP server in PolicyLayer and add a rule for unity_profiler_memory: 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 Unity MCP Server. Nothing to install.
unity_profiler_memory 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 unity_profiler_memory 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 unity_profiler_memory. 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.
unity_profiler_memory is provided by the Unity MCP Server MCP server (anklebreaker-studio/unity-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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