vision_embed

Embed a single image with a loaded encoder.

SERVERTenzro Ledger MCP SOURCEhttps://canton-mcp.tenzro.network/mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/network-tenzro-tenzro/vision-embed.md

WHAT IT DOES

What vision_embed does on Tenzro Ledger MCP

AI agents invoke vision_embed to trigger actions in Tenzro Ledger MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why vision_embed is rated High

This tool runs a machine learning inference operation (embedding via an encoder) on image input. It is not a simple read/query but an execution of a computational process.

From the tool's definition 'Embed a single image with a loaded encoder' — triggers an inference/execution operation using a loaded model encoder to process image data

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs vision_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 vision_embed, this is the rule to start with:

vision_embed Rate-limited

vision_embed stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "vision_embed": {
      "limits": [
        {
          "counter": "vision_embed_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Tenzro Ledger MCP, apply this rule, and every vision_embed call is checked against it from then on.

FAQ

Questions about vision_embed

What does the vision_embed tool do? +

Embed a single image with a loaded encoder. It is categorised as a Execute tool in the Tenzro Ledger MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on vision_embed? +

Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for vision_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.

What risk level is vision_embed? +

vision_embed is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit vision_embed? +

Yes. Add a rate_limit block to the vision_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.

How do I block vision_embed completely? +

Set action: deny in the PolicyLayer policy for vision_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.

What MCP server provides vision_embed? +

vision_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.

KEEP EXPLORING

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