AI agents call semantic_outline to retrieve information from brainMD without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and processes existing note content to generate a semantic clustering or outline structure. It is a read-only analysis operation with no side effects, data modification, or irreversible actions. Clustering/organizing is a passive analytical operation performed on local data.
From the tool's definition Tool name 'semantic_outline' and description 'Cluster a note' indicate reading/analyzing existing note data to organize or understand its semantic structure. No creation, modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access semantic_outline gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and brainMD, and nothing reaches the server without passing your rules. This is the rule we recommend for semantic_outline:
{
"version": "1",
"default": "deny",
"tools": {
"semantic_outline": {}
}
}semantic_outline is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Cluster a note. It is categorised as a Read tool in the brainMD MCP Server, which means it retrieves data without modifying state.
Register the brainMD MCP server in PolicyLayer and add a rule for semantic_outline: 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 brainMD. Nothing to install.
semantic_outline 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 semantic_outline 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 semantic_outline. 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.
semantic_outline is provided by the brainMD MCP server (mi4uu/brain.md). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from brainMD, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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17 brainMD tools catalogued and risk-classified — across an index of 43,000+ MCP servers.