check_class_balance
Check class distribution in a classification dataset. Flags imbalance if any class < 20%.
This record as markdown: /tools/agentic-automl-platform/check-class-balance.md
What check_class_balance does on Agentic Automl Platform
AI agents call check_class_balance to retrieve information from Agentic Automl Platform without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why check_class_balance is rated Low
This tool retrieves and analyzes dataset metadata to report on class balance ratios. It produces diagnostic information only and does not create, modify, delete, or execute code based on its findings. The output is a simple assessment/flag with no capability to alter data or trigger consequential operations.
From the tool's definition Tool performs analysis and checks class distribution in a dataset without modifying data or triggering external operations. The description explicitly states it 'checks' and 'flags' imbalance, which are diagnostic/informational actions with no side effects.
Attacks that exploit this kind of access
The rule that runs check_class_balance safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Agentic Automl Platform, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For check_class_balance, this is the rule to start with:
check_class_balance 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 Agentic Automl Platform, apply this rule, and every check_class_balance call is checked against it from then on.
Questions about check_class_balance
Check class distribution in a classification dataset. Flags imbalance if any class < 20%. It is categorised as a Read tool in the Agentic Automl Platform MCP Server, which means it retrieves data without modifying state.
Register the Agentic Automl Platform MCP server in PolicyLayer and add a rule for check_class_balance: 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 Agentic Automl Platform. Nothing to install.
check_class_balance 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 check_class_balance 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 check_class_balance. 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.
check_class_balance is provided by the Agentic Automl Platform MCP server (anantshri1/agentic-automl-platform). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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