Perform case action on multiple cases simultaneously (bulk operation). Executes the specified action on all cases provided in the request. In Infinity, actions are performed synchronously. In Launchpad, actions are performed asynchronously in the background. NOTE: Only supports case-wide actions ...
AI agents invoke perform_bulk_action 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 actions on multiple cases at once. While it modifies data (Write-like), the bulk execution nature and the fact it 'executes' actions (not just data updates) — potentially triggering workflows, stage transitions, or other side effects across many cases simultaneously — elevates it to Execute.
From the tool's definition Perform case action on multiple cases simultaneously (bulk operation). Executes the specified action on all cases provided in the request.
Documented attack patterns abuse exactly the kind of access perform_bulk_action 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 perform_bulk_action:
{
"version": "1",
"default": "deny",
"tools": {
"perform_bulk_action": {
"limits": [
{
"counter": "perform_bulk_action_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}perform_bulk_action 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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Perform case action on multiple cases simultaneously (bulk operation). Executes the specified action on all cases provided in the request. In Infinity, actions are performed synchronously. In Launchpad, actions are performed asynchronously in the background. NOTE: Only supports case-wide actions that update cases directly - assignment-level actions like Transfer and Adjust Assignment SLA are not supported. 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 perform_bulk_action: 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.
perform_bulk_action 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 perform_bulk_action 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 perform_bulk_action. 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.
perform_bulk_action 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.