Get user
AI agents call get_recently_played to retrieve information from Spotify MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval operation that queries the user's playback history. It has no side effects, does not modify or delete any data, and does not trigger external operations.
From the tool's definition Tool name 'get_recently_played' and server description context indicate data retrieval. The tool retrieves the user's recently played tracks—a read-only query with no modifications, deletions, or side effects.
Attacks that exploit this kind of access
Get user. It is categorised as a Read tool in the Spotify MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Spotify MCP Server MCP server in PolicyLayer and add a rule for get_recently_played: 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 Spotify MCP Server. Nothing to install.
get_recently_played 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_recently_played 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_recently_played. 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_recently_played is provided by the Spotify MCP Server MCP server (nicklaustrup/mcp-spotify). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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