ruvector_create_index
Create a vector index (HNSW or IVF) for faster similarity search.
This record as markdown: /tools/hamza-agent-hub-252/ruvector-create-index.md
What ruvector_create_index does on Hamza Agent Hub 252
AI agents use ruvector_create_index to create or update resources in Hamza Agent Hub 252, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hamza Agent Hub 252 environment.
Why ruvector_create_index is rated Medium
This tool creates (writes) a vector index artifact for search optimization. While it modifies system state by adding an index, the operation is reversible—indices can be deleted or recreated without permanent data loss. It does not execute arbitrary code, delete irreversibly, or move money. Classified as Write rather than Execute because it is a specific data structure creation, not arbitrary code execution.
From the tool's definition Tool name 'ruvector_create_index' and description 'Create a vector index' indicate creation of a new data structure. The description explicitly states the action is to 'Create' an index, which is a reversible modification operation.
Attacks that exploit this kind of access
The rule that runs ruvector_create_index safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hamza Agent Hub 252, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ruvector_create_index, this is the rule to start with:
ruvector_create_index stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hamza Agent Hub 252, apply this rule, and every ruvector_create_index call is checked against it from then on.
Questions about ruvector_create_index
Create a vector index (HNSW or IVF) for faster similarity search. It is categorised as a Write tool in the Hamza Agent Hub 252 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hamza Agent Hub 252 MCP server in PolicyLayer and add a rule for ruvector_create_index: 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 Hamza Agent Hub 252. Nothing to install.
ruvector_create_index is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the ruvector_create_index 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 ruvector_create_index. 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.
ruvector_create_index is provided by the Hamza Agent Hub 252 MCP server (hamzachallenge3-dev/hamza-agent-hub-252). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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