Atomic dequeue: claim highest-priority eligible job for this agent. Returns job or {204: no work}.
AI agents use hive.job_next to create or update resources in Mnemos — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mnemos environment.
This tool claims/locks a job from a queue, modifying its state (marking it as claimed/in-progress by the agent). This is a reversible write operation — it changes job ownership/status but does not delete or destroy data. Misuse could cause jobs to be incorrectly claimed or stuck, but the blast radius is moderate and limited to job scheduling disruption.
From the tool's definition Atomic dequeue: claim highest-priority eligible job for this agent
Documented attack patterns abuse exactly the kind of access hive.job_next gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mnemos, and nothing reaches the server without passing your rules. This is the rule we recommend for hive.job_next:
{
"version": "1",
"default": "deny",
"tools": {
"hive.job_next": {
"limits": [
{
"counter": "hive.job_next_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}hive.job_next 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.
Free to start. No card required.
Atomic dequeue: claim highest-priority eligible job for this agent. Returns job or {204: no work}. It is categorised as a Write tool in the Mnemos MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Mnemos MCP server in PolicyLayer and add a rule for hive.job_next: 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 Mnemos. Nothing to install.
hive.job_next 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 hive.job_next 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 hive.job_next. 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.
hive.job_next is provided by the Mnemos MCP server (ncz-os/mnemos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mnemos, 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.
15 Mnemos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.