Low Risk

get_participant

Get detailed information about a specific participant in a Pega case by case ID and participant ID. Returns participant details including personal information, contact details, and optional UI resources for form display.

How to control get_participant ↓

What get_participant does on Pega DX MCP Server

AI agents call get_participant to retrieve information from Pega DX 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 get_participant needs a policy

This tool retrieves and queries participant data from a Pega case without modifying, creating, or deleting anything. It is a straightforward read operation that fits the Read category definition of retrieving or querying data with no side effects.

From the tool's definition Tool name 'get_participant' and description 'Get detailed information about a specific participant' indicates a retrieval operation with no side effects.

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

How to control get_participant

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_participant:

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

get_participant 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 Pega DX 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 get_participant

What does the get_participant tool do? +

Get detailed information about a specific participant in a Pega case by case ID and participant ID. Returns participant details including personal information, contact details, and optional UI resources for form display. 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_participant? +

Register the Pega DX MCP Server MCP server in PolicyLayer and add a rule for get_participant: 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_participant? +

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

Can I rate-limit get_participant? +

Yes. Add a rate_limit block to the get_participant 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_participant completely? +

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

get_participant 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.

Free to start. No card required.

65 Pega DX MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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