Low Risk

dataset_summary

Get detailed summary statistics and metadata

How to control dataset_summary ↓

What dataset_summary does on FiftyOne MCP Server

AI agents call dataset_summary to retrieve information from FiftyOne MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why dataset_summary needs a policy

This tool retrieves and queries dataset statistics and metadata. It has no side effects—it does not create, modify, delete, or execute code. The operation is purely informational, presenting computed or stored summary data about a dataset. In the context of a computer vision dataset tool, requesting summary statistics is a standard Read operation with minimal risk if misused by an AI agent.

From the tool's definition Tool name 'dataset_summary' with description 'Get detailed summary statistics and metadata' indicates retrieval of summary information without modification.

Documented attack patterns abuse exactly the kind of access dataset_summary gives an agent:

How to control dataset_summary

PolicyLayer is an MCP gateway — it sits between your AI agents and FiftyOne MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for dataset_summary:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "dataset_summary": {}
  }
}

dataset_summary is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register FiftyOne MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about dataset_summary

What does the dataset_summary tool do? +

Get detailed summary statistics and metadata. It is categorised as a Read tool in the FiftyOne MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dataset_summary? +

Register the FiftyOne MCP Server MCP server in PolicyLayer and add a rule for dataset_summary: 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 FiftyOne MCP Server. Nothing to install.

What risk level is dataset_summary? +

dataset_summary is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit dataset_summary? +

Yes. Add a rate_limit block to the dataset_summary 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.

How do I block dataset_summary completely? +

Set action: deny in the PolicyLayer policy for dataset_summary. 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.

What MCP server provides dataset_summary? +

dataset_summary is provided by the FiftyOne MCP Server MCP server (voxel51/fiftyone-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FiftyOne MCP Server tool call.

Start from FiftyOne MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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47 FiftyOne MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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