List all videos in your account
AI agents call list_videos to retrieve information from Tavus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to enumerate existing videos. It retrieves information from the Tavus API without side effects, reversible changes, code execution, or financial impact. The low severity reflects minimal blast radius if misused — an agent listing videos cannot harm data or systems.
From the tool's definition Tool name is 'list_videos' and description states 'List all videos in your account' — a straightforward query operation that retrieves data without modifying or deleting anything.
Attacks that exploit this kind of access
List all videos in your account. It is categorised as a Read tool in the Tavus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Tavus MCP Server MCP server in PolicyLayer and add a rule for list_videos: 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 Tavus MCP Server. Nothing to install.
list_videos 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 list_videos 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 list_videos. 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.
list_videos is provided by the Tavus MCP Server MCP server (rakeshdavid/tavus-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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