Perform advanced audio analysis (sentiment, topics, intents, entities).
AI agents call analyze_audio to retrieve information from Deepgram MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves and analyzes data from audio inputs to extract insights (sentiment, topics, intents, entities), which is a Read operation. However, severity is medium rather than low because audio analysis could extract sensitive information from recordings (e.g., sentiment revealing emotional state, entities revealing personal details, intents revealing intentions), creating privacy risks if misused by an AI…
From the tool's definition Tool performs 'advanced audio analysis' including 'sentiment, topics, intents, entities' extraction. These are analytical operations that extract information from audio without modifying or deleting data.
Attacks that exploit this kind of access
Perform advanced audio analysis (sentiment, topics, intents, entities). It is categorised as a Read tool in the Deepgram MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Deepgram MCP Server MCP server in PolicyLayer and add a rule for analyze_audio: 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 Deepgram MCP Server. Nothing to install.
analyze_audio 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 analyze_audio 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 analyze_audio. 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.
analyze_audio is provided by the Deepgram MCP Server MCP server (reddheeraj/deepgram-mcp). 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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