Jump to the specified step within an assignment\
AI agents invoke jump_to_step to trigger actions in Pega DX MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes a workflow action by jumping to a specific step in an assignment, which triggers external operations within the Pega Platform. It is not merely reading data, nor does it create/modify data in a straightforward reversible way — it advances or redirects workflow execution state, making it an Execute-category action. Misuse could cause workflows to skip required steps or enter invalid states.
From the tool's definition 'Jump to the specified step within an assignment' — triggers navigation/execution of a workflow step within a Pega assignment
Documented attack patterns abuse exactly the kind of access jump_to_step 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 jump_to_step:
{
"version": "1",
"default": "deny",
"tools": {
"jump_to_step": {
"limits": [
{
"counter": "jump_to_step_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} jump_to_step stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Jump to the specified step within an assignment\. It is categorised as a Execute tool in the Pega DX MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pega DX MCP Server MCP server in PolicyLayer and add a rule for jump_to_step: 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.
jump_to_step is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the jump_to_step 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 jump_to_step. 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.
jump_to_step 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.
Free to start. No card required.
65 Pega DX MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.