dataset.import_training_result
Import a hash- and license-bound checkpoint produced by an approved worker.
This record as markdown: /tools/visionmcp/dataset.import-training-result.md
What dataset.import_training_result does on Visionmcp
AI agents use dataset.import_training_result to create or update resources in Visionmcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Visionmcp environment.
Why dataset.import_training_result is rated Medium
This tool imports a checkpoint (model artifact) into the system. It creates or modifies data (a dataset/model checkpoint) in a reversible way — the import can presumably be undone or the checkpoint removed. It does not execute code, delete data, or involve financial transactions.
From the tool's definition Import a hash- and license-bound checkpoint produced by an approved worker
Attacks that exploit this kind of access
The rule that runs dataset.import_training_result 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.import_training_result, this is the rule to start with:
dataset.import_training_result stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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.import_training_result call is checked against it from then on.
Questions about dataset.import_training_result
Import a hash- and license-bound checkpoint produced by an approved worker. It is categorised as a Write tool in the Visionmcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vision MCP server in PolicyLayer and add a rule for dataset.import_training_result: 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.import_training_result is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the dataset.import_training_result 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.import_training_result. 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.import_training_result 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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