Build the project for a specified platform.
AI agents invoke build to trigger actions in Unity MCP with Ollama Integration. 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.
Building a project is an Execute action—it runs the compiler/build system and triggers external operations whose effects depend on configuration and project state. It is not Write (not just modifying data reversibly), not Destructive (build outputs are typically regenerable), and not Read (it performs compilation/transformation).
From the tool's definition Tool name 'build' with description 'Build the project for a specified platform' indicates execution of the build system, which compiles code, processes assets, and may trigger external build tools and operations.
Documented attack patterns abuse exactly the kind of access build gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Unity MCP with Ollama Integration, and nothing reaches the server without passing your rules. This is the rule we recommend for build:
{
"version": "1",
"default": "deny",
"tools": {
"build": {
"limits": [
{
"counter": "build_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} build 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.
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Build the project for a specified platform. It is categorised as a Execute tool in the Unity MCP with Ollama Integration MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Unity MCP with Ollama Integration MCP server in PolicyLayer and add a rule for build: 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 with Ollama Integration. Nothing to install.
build 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 build 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 build. 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.
build is provided by the Unity MCP with Ollama Integration MCP server (zundamonnovrchatkaisetu/unity-mcp-ollama). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Unity MCP with Ollama Integration, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
37 Unity MCP with Ollama Integration tools catalogued and risk-classified — across an index of 43,000+ MCP servers.