Get user's Steam game library with detailed statistics.
AI agents call get_steam_library to retrieve information from PersonalizationMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and returns existing personal data (Steam library contents and statistics). It performs no write, execution, deletion, or financial operations. While it does access personal data, the read-only nature and limited scope (game library metadata) makes this a low-severity information disclosure risk.
From the tool's definition The tool 'get_steam_library' retrieves user's Steam game library with detailed statistics. The verb 'get' and description language ('retrieves') clearly indicate a data retrieval operation with no modification or deletion.
Documented attack patterns abuse exactly the kind of access get_steam_library gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and PersonalizationMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_steam_library:
{
"version": "1",
"default": "deny",
"tools": {
"get_steam_library": {}
}
}get_steam_library is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get user's Steam game library with detailed statistics. It is categorised as a Read tool in the PersonalizationMCP MCP Server, which means it retrieves data without modifying state.
Register the Personalization MCP server in PolicyLayer and add a rule for get_steam_library: 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 PersonalizationMCP. Nothing to install.
get_steam_library 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 get_steam_library 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 get_steam_library. 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.
get_steam_library is provided by the Personalization MCP server (yangliangwei/personalizationmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 88 PersonalizationMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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88 PersonalizationMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.