Extract comprehensive metadata from a dataset file in Google Drive. Returns column information, data types, statistics, and quality metrics.
AI agents call extract_dataset_metadata to retrieve information from MCP Dataset Onboarding Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs metadata extraction and statistical analysis on datasets. It retrieves information about structure, types, and quality metrics from files already in Google Drive. No data is modified, deleted, or used to trigger external side effects. The blast radius of misuse is minimal—an agent could extract metadata from sensitive files, but cannot alter data or trigger financial/destructive operations.
From the tool's definition Tool description states it 'Extract[s] comprehensive metadata from a dataset file' and 'Returns column information, data types, statistics, and quality metrics.' These are read-only operations that retrieve and analyze existing data without modifying,…
Attacks that exploit this kind of access
Extract comprehensive metadata from a dataset file in Google Drive. Returns column information, data types, statistics, and quality metrics. It is categorised as a Read tool in the MCP Dataset Onboarding Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Dataset Onboarding Server MCP server in PolicyLayer and add a rule for extract_dataset_metadata: 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 MCP Dataset Onboarding Server. Nothing to install.
extract_dataset_metadata 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 extract_dataset_metadata 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 extract_dataset_metadata. 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.
extract_dataset_metadata is provided by the MCP Dataset Onboarding Server MCP server (magenta91/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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