Get assignment details including form fields, required fields, available actions, and eTag. Used BETWEEN case creation and action performance. Returns form structure, action IDs, and eTag needed for subsequent operations. Required fields marked with
AI agents call get_assignment 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.
get_assignment fetches structured information about an assignment (fields, actions, identifiers) to support subsequent operations. It reads state without modifying data, creating, deleting, executing code, or committing financial actions. This is characteristic of a Read category tool.
From the tool's definition Tool retrieves assignment details, form fields, and metadata. Description states 'Get assignment details' and 'Returns form structure, action IDs, and eTag' — all retrieval operations with no data modification or side effects.
Documented attack patterns abuse exactly the kind of access get_assignment gives an agent:
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_assignment:
{
"version": "1",
"default": "deny",
"tools": {
"get_assignment": {}
}
} get_assignment is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get assignment details including form fields, required fields, available actions, and eTag. Used BETWEEN case creation and action performance. Returns form structure, action IDs, and eTag needed for subsequent operations. Required fields marked with. It is categorised as a Read tool in the Pega DX MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Pega DX MCP Server MCP server in PolicyLayer and add a rule for get_assignment: 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.
get_assignment 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 get_assignment 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 get_assignment. 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.
get_assignment 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.
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.
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65 Pega DX MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.