dataset.evaluate
Evaluate stored feature predictions with precision, recall, F1, and mask IoU.
This record as markdown: /tools/visionmcp/dataset.evaluate.md
What dataset.evaluate does on Visionmcp
AI agents call dataset.evaluate to retrieve information from Visionmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why dataset.evaluate is rated Low
The tool retrieves prediction data and calculates evaluation metrics (precision, recall, F1, mask IoU). These are non-destructive, side-effect-free operations that produce summary statistics. No data is created, modified, deleted, or externally triggered. This is a clear Read operation typical of model evaluation workflows.
From the tool's definition Tool name is 'evaluate' and description states it performs metric calculations on stored predictions: 'Evaluate stored feature predictions with precision, recall, F1, and mask IoU.' These are read-only analytical operations that compute statistics without…
Attacks that exploit this kind of access
The rule that runs dataset.evaluate 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.evaluate, this is the rule to start with:
dataset.evaluate is read-only, so it stays allowed. 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.evaluate call is checked against it from then on.
Questions about dataset.evaluate
Evaluate stored feature predictions with precision, recall, F1, and mask IoU. It is categorised as a Read tool in the Visionmcp MCP Server, which means it retrieves data without modifying state.
Register the Vision MCP server in PolicyLayer and add a rule for dataset.evaluate: 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.evaluate is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the dataset.evaluate 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.evaluate. 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.evaluate 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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