AI agents use batch_operations to create or update resources in Work Memory MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Work Memory MCP Server environment.
The tool performs batch memory operations on a work memory server. Since batch operations could include create, update, and delete actions, the most severe applicable category among the siblings (which includes delete_work_memory) would be Destructive. However, the description does not explicitly confirm destructive operations are included.
From the tool's definition 'batch_operations' with description '여러 메모리 작업을 효율적으로 일괄 처리합니다' (translates to 'Efficiently batch processes multiple memory operations')
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access batch_operations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Work Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for batch_operations:
{
"version": "1",
"default": "deny",
"tools": {
"batch_operations": {
"limits": [
{
"counter": "batch_operations_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}batch_operations stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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여러 메모리 작업을 효율적으로 일괄 처리합니다. It is categorised as a Write tool in the Work Memory MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Work Memory MCP Server MCP server in PolicyLayer and add a rule for batch_operations: 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 Work Memory MCP Server. Nothing to install.
batch_operations is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the batch_operations 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 batch_operations. 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.
batch_operations is provided by the Work Memory MCP Server MCP server (moontmsai/work-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Work Memory 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.
24 Work Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.