reduce_dimensions
Fit PCA on train split, transform full dataset, save reduced CSV.
This record as markdown: /tools/agentic-automl-platform/reduce-dimensions.md
What reduce_dimensions does on Agentic Automl Platform
AI agents use reduce_dimensions to create or update resources in Agentic Automl Platform, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Agentic Automl Platform environment.
Why reduce_dimensions is rated Medium
This tool modifies data by applying PCA dimensionality reduction and writes the result to a new CSV file. While the transformation is mathematically reversible in principle, the tool's primary action is creating/writing a new dataset artifact. This is a reversible write operation (the original data remains, a new derived dataset is created), not destructive.
From the tool's definition Tool performs 'save reduced CSV' — creates new data file. PCA fitting and transformation are data processing operations (reversible modifications), and the output is persisted to storage.
Attacks that exploit this kind of access
The rule that runs reduce_dimensions 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 reduce_dimensions, this is the rule to start with:
reduce_dimensions 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 Agentic Automl Platform, apply this rule, and every reduce_dimensions call is checked against it from then on.
Questions about reduce_dimensions
Fit PCA on train split, transform full dataset, save reduced CSV. It is categorised as a Write tool in the Agentic Automl Platform MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Agentic Automl Platform MCP server in PolicyLayer and add a rule for reduce_dimensions: 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.
reduce_dimensions 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 reduce_dimensions 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 reduce_dimensions. 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.
reduce_dimensions 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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