search_unity_api

search_unity_api

Server Unity API Documentation pypi:unity-api-mcp
Category Read
Risk class Low
Parameters 00 required

What search_unity_api does on Unity API Documentation

AI agents call search_unity_api to retrieve information from Unity API Documentation without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why search_unity_api needs a policy

Even though search_unity_api only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about search_unity_api

What does the search_unity_api tool do? +

search_unity_api. It is categorised as a Read tool in the Unity API Documentation MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on search_unity_api? +

Register the Unity API Documentation MCP server in PolicyLayer and add a rule for search_unity_api: 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 API Documentation. Nothing to install.

What risk level is search_unity_api? +

search_unity_api is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit search_unity_api? +

Yes. Add a rate_limit block to the search_unity_api 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.

How do I block search_unity_api completely? +

Set action: deny in the PolicyLayer policy for search_unity_api. 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.

What MCP server provides search_unity_api? +

search_unity_api is provided by the Unity API Documentation MCP server (pypi:unity-api-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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