Retrieve psychological trigger profile for a subject. Returns which conversation topics consistently cause stress (active triggers) and which have been resolved over time. - active triggers: topics where stress was elevated across multiple sessions. Tread carefully. - resolved triggers: topics wh...
Part of the Nefesh — Real-Time Human State Awareness for AI server.
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AI agents call get_trigger_memory to retrieve information from Nefesh — Real-Time Human State Awareness for AI without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though get_trigger_memory only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
{
"version": "1",
"default": "deny",
"tools": {
"get_trigger_memory": {}
}
}See the full Nefesh — Real-Time Human State Awareness for AI policy for all 6 tools.
These attack patterns abuse exactly the kind of access get_trigger_memory gives an agent. Each links to the full case and the policy that stops it:
Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.
Retrieve psychological trigger profile for a subject. Returns which conversation topics consistently cause stress (active triggers) and which have been resolved over time. - active triggers: topics where stress was elevated across multiple sessions. Tread carefully. - resolved triggers: topics where stress has decreased. Safe to explore deeper. Each trigger includes observation_count, avg_score, peak_score, and last_seen. Requires prior ingest calls with the same subject_id. Not a medical device.. It is categorised as a Read tool in the Nefesh — Real-Time Human State Awareness for AI MCP Server, which means it retrieves data without modifying state.
Register the Nefesh — Real-Time Human State Awareness for AI MCP server in PolicyLayer and add a rule for get_trigger_memory: 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 Nefesh — Real-Time Human State Awareness for AI. Nothing to install.
get_trigger_memory 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 get_trigger_memory 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 get_trigger_memory. 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.
get_trigger_memory is provided by the Nefesh — Real-Time Human State Awareness for AI MCP server (https://mcp.nefesh.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 6 Nefesh — Real-Time Human State Awareness for AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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