crow_regenerate_embeddings

Re-embed memories to fix stale embeddings (e.g. after content updates or after enabling semantic search). Optionally filter by category, id list, or re-embed all memories.

SERVERCrow SOURCEkh0pper/crow

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/kh0pper-crow/crow-regenerate-embeddings.md

WHAT IT DOES

What crow_regenerate_embeddings does on Crow

AI agents call crow_regenerate_embeddings to retrieve information from Crow without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why crow_regenerate_embeddings is rated Low

Even though crow_regenerate_embeddings only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs crow_regenerate_embeddings safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Crow, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For crow_regenerate_embeddings, this is the rule to start with:

crow_regenerate_embeddings Allowed

crow_regenerate_embeddings is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "crow_regenerate_embeddings": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Crow, apply this rule, and every crow_regenerate_embeddings call is checked against it from then on.

FAQ

Questions about crow_regenerate_embeddings

What does the crow_regenerate_embeddings tool do? +

Re-embed memories to fix stale embeddings (e.g. after content updates or after enabling semantic search). Optionally filter by category, id list, or re-embed all memories. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on crow_regenerate_embeddings? +

Register the Crow MCP server in PolicyLayer and add a rule for crow_regenerate_embeddings: 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 Crow. Nothing to install.

What risk level is crow_regenerate_embeddings? +

crow_regenerate_embeddings is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit crow_regenerate_embeddings? +

Yes. Add a rate_limit block to the crow_regenerate_embeddings 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.

How do I block crow_regenerate_embeddings completely? +

Set action: deny in the PolicyLayer policy for crow_regenerate_embeddings. 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.

What MCP server provides crow_regenerate_embeddings? +

crow_regenerate_embeddings is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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