unload_detection_model

Unload a detection model and free its ONNX session.

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/unload-detection-model.md

WHAT IT DOES

What unload_detection_model does on Tenzro Ledger MCP

AI agents invoke unload_detection_model 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 unload_detection_model is rated High

This tool terminates an active ONNX inference session and releases associated resources. It triggers an external operation (freeing a runtime session) with side effects that depend on which model is targeted. While not destructive to persistent data, it can disrupt ongoing inference operations and cannot be trivially undone without reloading the model, placing it in the Execute category.

From the tool's definition Unload a detection model and free its ONNX session

Attacks that exploit this kind of access

RECOMMENDED RULE

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

unload_detection_model Rate-limited

unload_detection_model 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": {
    "unload_detection_model": {
      "limits": [
        {
          "counter": "unload_detection_model_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 unload_detection_model call is checked against it from then on.

FAQ

Questions about unload_detection_model

What does the unload_detection_model tool do? +

Unload a detection model and free its ONNX session. 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 unload_detection_model? +

Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for unload_detection_model: 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 unload_detection_model? +

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

Can I rate-limit unload_detection_model? +

Yes. Add a rate_limit block to the unload_detection_model 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 unload_detection_model completely? +

Set action: deny in the PolicyLayer policy for unload_detection_model. 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 unload_detection_model? +

unload_detection_model 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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