get_user_data

Retrieves custom data stored for a player.

Server Playfab @akiojin/playfab-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_user_data does on Playfab

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

Why get_user_data needs a policy

This is a straightforward read operation that queries player data without creating, modifying, deleting, or executing any operations. The word 'Retrieves' explicitly indicates a read-only action. While it accesses player data, the low severity reflects that reading data alone poses minimal risk compared to tools that modify or delete data. The high confidence reflects the clear and explicit nature of the description.

From the tool's definition Tool name 'get_user_data' and description 'Retrieves custom data stored for a player' indicate a data retrieval operation with no modification or side effects.

Questions about get_user_data

What does the get_user_data tool do? +

Retrieves custom data stored for a player. It is categorised as a Read tool in the Playfab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_user_data? +

Register the Playfab MCP server in PolicyLayer and add a rule for get_user_data: 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 Playfab. Nothing to install.

What risk level is get_user_data? +

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

Can I rate-limit get_user_data? +

Yes. Add a rate_limit block to the get_user_data 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 get_user_data completely? +

Set action: deny in the PolicyLayer policy for get_user_data. 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 get_user_data? +

get_user_data is provided by the Playfab MCP server (@akiojin/playfab-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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