embeddings_rabitq_status
Get RaBitQ quantized index status — availability, vector count, compression ratio Use when text similarity matters beyond keyword match — native Grep finds exact strings, embeddings find meaning. Pair with memory_store / agentdb_pattern-search to land the vector against your knowledge base. For l...
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What embeddings_rabitq_status does on Ruflo
AI agents call embeddings_rabitq_status to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why embeddings_rabitq_status is rated Low
This tool retrieves status and metadata about a vector embedding index (RaBitQ). It queries index properties like availability, vector count, and compression ratio with no side effects, no state modification, no code execution, and no data deletion.
From the tool's definition Tool name 'embeddings_rabitq_status' and description 'Get RaBitQ quantized index status — availability, vector count, compression ratio' indicate retrieval of status information about an embedding index.
Attacks that exploit this kind of access
The rule that runs embeddings_rabitq_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For embeddings_rabitq_status, this is the rule to start with:
embeddings_rabitq_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every embeddings_rabitq_status call is checked against it from then on.
Questions about embeddings_rabitq_status
Get RaBitQ quantized index status — availability, vector count, compression ratio Use when text similarity matters beyond keyword match — native Grep finds exact strings, embeddings find meaning. Pair with memory_store / agentdb_pattern-search to land the vector against your knowledge base. For literal symbol search, native Grep is faster. It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.
Register the Ruflo MCP server in PolicyLayer and add a rule for embeddings_rabitq_status: 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 Ruflo. Nothing to install.
embeddings_rabitq_status 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 embeddings_rabitq_status 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 embeddings_rabitq_status. 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.
embeddings_rabitq_status is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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