Build or update the embedding index. Only re-embeds changed notes unless force=true.
Part of the Ori Memory server.
Free to start. No card required.
AI agents invoke ori_index_build to trigger processes or run actions in Ori Memory. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
ori_index_build can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"ori_index_build": {
"limits": [
{
"counter": "ori_index_build_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full Ori Memory policy for all 16 tools.
These attack patterns abuse exactly the kind of access ori_index_build gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Build or update the embedding index. Only re-embeds changed notes unless force=true.. It is categorised as a Execute tool in the Ori Memory MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ori Memory MCP server in PolicyLayer and add a rule for ori_index_build: 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 Ori Memory. Nothing to install.
ori_index_build is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ori_index_build 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 ori_index_build. 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.
ori_index_build is provided by the Ori Memory MCP server (ori-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Ori Memory tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.