listening_consistency_score
Score how consistent your listening is (0-100) from recently-played history: active-day coverage, hour spread, and weekday balance with each component shown (default 150 items). Quota: GET /me/player/recently-played cursor walk.
This record as markdown: /tools/novalux12-spotify-mcp/listening-consistency-score.md
What listening_consistency_score does on Spotify
AI agents call listening_consistency_score to retrieve information from Spotify without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why listening_consistency_score is rated Low
Even though listening_consistency_score 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.
Attacks that exploit this kind of access
The rule that runs listening_consistency_score safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Spotify, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For listening_consistency_score, this is the rule to start with:
listening_consistency_score is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Spotify, apply this rule, and every listening_consistency_score call is checked against it from then on.
Questions about listening_consistency_score
Score how consistent your listening is (0-100) from recently-played history: active-day coverage, hour spread, and weekday balance with each component shown (default 150 items). Quota: GET /me/player/recently-played cursor walk. It is categorised as a Read tool in the Spotify MCP Server, which means it retrieves data without modifying state.
Register the Spotify MCP server in PolicyLayer and add a rule for listening_consistency_score: 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. Nothing to install.
listening_consistency_score 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 listening_consistency_score 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 listening_consistency_score. 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.
listening_consistency_score is provided by the Spotify MCP server (@novalux12/spotify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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