Get the action log for a specific agent, showing the last 100 actions with timestamps.
AI agents call unity_agent_log to retrieve information from Unity MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and displays existing log information with no side effects. It is a simple read operation that fetches data (the last 100 actions) for viewing purposes only. There is no capability to modify, execute code, delete data, or perform financial transactions.
From the tool's definition Tool name 'unity_agent_log' and description 'Get the action log for a specific agent, showing the last 100 actions with timestamps' indicate a retrieval operation that queries historical log data without modifying, executing, or deleting any data.
Documented attack patterns abuse exactly the kind of access unity_agent_log gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Unity MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for unity_agent_log:
{
"version": "1",
"default": "deny",
"tools": {
"unity_agent_log": {}
}
}unity_agent_log is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Get the action log for a specific agent, showing the last 100 actions with timestamps. 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_agent_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 Unity MCP Server. Nothing to install.
unity_agent_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 unity_agent_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 unity_agent_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.
unity_agent_log 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.
Deterministic rules across all 324 Unity MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
324 Unity MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.