dataset.generate
Queue safe headless Blender rendering for a planned synthetic dataset.
This record as markdown: /tools/visionmcp/dataset.generate.md
What dataset.generate does on Visionmcp
AI agents invoke dataset.generate to trigger actions in Visionmcp. 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 dataset.generate is rated High
This tool triggers an external execution process (headless Blender rendering), which runs code/external operations. It queues rendering jobs whose effects depend on the dataset plan arguments. While it doesn't delete data or move money, it executes an external computational process, placing it firmly in the Execute category.
From the tool's definition Queue safe headless Blender rendering for a planned synthetic dataset
Attacks that exploit this kind of access
The rule that runs dataset.generate safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dataset.generate, this is the rule to start with:
dataset.generate 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 Visionmcp, apply this rule, and every dataset.generate call is checked against it from then on.
Questions about dataset.generate
Queue safe headless Blender rendering for a planned synthetic dataset. It is categorised as a Execute tool in the Visionmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Vision MCP server in PolicyLayer and add a rule for dataset.generate: 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 Visionmcp. Nothing to install.
dataset.generate 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 dataset.generate 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 dataset.generate. 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.
dataset.generate is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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