unload_vision_model
Unload an image encoder and free its ONNX session.
This record as markdown: /tools/network-tenzro-tenzro/unload-vision-model.md
What unload_vision_model does on Tenzro Ledger MCP
AI agents invoke unload_vision_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.
Why unload_vision_model is rated High
This tool terminates a running model session and frees associated resources (ONNX session). It triggers an external operation (releasing a runtime resource) that has side effects beyond simple data reads or writes. Freeing a session is a state-changing execution action, though it is not directly financial, destructive to persistent data, or a write of new data.
From the tool's definition Unload an image encoder and free its ONNX session
Attacks that exploit this kind of access
The rule that runs unload_vision_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_vision_model, this is the rule to start with:
unload_vision_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.
The button opens the PolicyLayer dashboard: create your workspace, connect Tenzro Ledger MCP, apply this rule, and every unload_vision_model call is checked against it from then on.
Questions about unload_vision_model
Unload an image encoder 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.
Register the Tenzro Ledger MCP server in PolicyLayer and add a rule for unload_vision_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.
unload_vision_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the unload_vision_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.
Set action: deny in the PolicyLayer policy for unload_vision_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.
unload_vision_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.
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