get_data_objects

THE RISK

Low Risk

Why get_data_objects needs a policy

This tool queries and retrieves metadata about available data objects without any capability to create, modify, delete, or execute operations. It is purely informational/exploratory in nature, making it a Read operation with low severity risk, as misuse would only result in unauthorized information disclosure rather than system modification or damage.

From the tool's definition Tool name 'get_data_objects' and description 'Retrieve list of available data objects with metadata and HATEOAS links' indicate data retrieval with no modification capability. The optional filtering parameter does not alter this classification.

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

POLICY

How to control get_data_objects

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_data_objects": {}
  }
}

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

Create a free account and register Pega DX MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_data_objects

What does the get_data_objects tool do? +

Retrieve list of available data objects with metadata and HATEOAS links. Can optionally filter by data object type (data or case). It is categorised as a Read tool in the Pega DX MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_data_objects? +

Register the Pega DX MCP Server MCP server in PolicyLayer and add a rule for get_data_objects: 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 Pega DX MCP Server. Nothing to install.

What risk level is get_data_objects? +

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

Can I rate-limit get_data_objects? +

Yes. Add a rate_limit block to the get_data_objects 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 get_data_objects completely? +

Set action: deny in the PolicyLayer policy for get_data_objects. 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 get_data_objects? +

get_data_objects is provided by the Pega DX MCP Server MCP server (marco-looy/pega-dx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pega DX MCP Server tool call.

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

CHECK YOUR STACK →