AI agents call similar_songs to retrieve information from Claud-Ear without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns matching songs based on audio similarity analysis. It performs a search/query operation that does not create, modify, delete, or execute external operations with side effects. The action is purely informational—comparing an input audio file against a library and returning results.
From the tool's definition Tool name 'similar_songs' and description 'Find songs in the library that sound similar to the given WAV file' indicates retrieval/querying of data from a music library without modification or deletion.
Attacks that exploit this kind of access
Find songs in the library that sound similar to the given WAV file. It is categorised as a Read tool in the Claud-Ear MCP Server, which means it retrieves data without modifying state.
Register the Claud-Ear MCP server in PolicyLayer and add a rule for similar_songs: 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 Claud-Ear. Nothing to install.
similar_songs 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 similar_songs 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 similar_songs. 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.
similar_songs is provided by the Claud-Ear MCP server (null-phnix/claud-ear). 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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