video_embed
A other tool on the Tenzro Ledger MCP server.
This record as markdown: /tools/network-tenzro-tenzro/video-embed.md
What video_embed does on Tenzro Ledger MCP
AI agents call video_embed as a supporting operation in Tenzro Ledger MCP workflows.
Why video_embed is rated Low
The tool name suggests embedding video content, which could be a Write or Read operation, but without any description it's impossible to determine the actual behavior. Given the server context (wallet, identity, payments, inference, staking, bridges, verification, agents), this tool seems out of place. With no description to go on, confidence is very low and defaulting to Other with low severity.
From the tool's definition Tool name is 'video_embed' and the description is empty or uninformative.
Attacks that exploit this kind of access
The rule that runs video_embed safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Tenzro Ledger MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For video_embed, this is the rule to start with:
video_embed gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Tenzro Ledger MCP, apply this rule, and every video_embed call is checked against it from then on.
Questions about video_embed
video_embed is a other tool on the Tenzro Ledger MCP server. It is categorised as a Other tool in the Tenzro Ledger MCP MCP Server, which means it performs auxiliary operations.
Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for video_embed: 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 Tenzro Ledger MCP. Nothing to install.
video_embed is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the video_embed 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 video_embed. 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.
video_embed is provided by the Tenzro Ledger MCP server (https://canton-mcp.tenzro.network/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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