List Hive messages. Filter by recipient/topic.
AI agents call hive.message_list to retrieve information from Mnemos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and filters existing messages without creating, modifying, deleting, or executing any operations. It is a straightforward data retrieval function with no blast radius for misuse—an AI agent cannot cause harm by listing messages, at worst gaining unauthorized visibility into existing data.
From the tool's definition Tool name 'hive.message_list' and description 'List Hive messages. Filter by recipient/topic.' indicate a query/retrieval operation with no side effects. The verb 'List' and 'Filter' are characteristic of read-only data access.
Documented attack patterns abuse exactly the kind of access hive.message_list 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.message_list:
{
"version": "1",
"default": "deny",
"tools": {
"hive.message_list": {}
}
}hive.message_list is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Hive messages. Filter by recipient/topic. It is categorised as a Read tool in the Mnemos MCP Server, which means it retrieves data without modifying state.
Register the Mnemos MCP server in PolicyLayer and add a rule for hive.message_list: 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.message_list 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 hive.message_list 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.message_list. 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.message_list 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.
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15 Mnemos tools catalogued and risk-classified — across an index of 43,000+ MCP servers.