This record as markdown: /tools/ruflo/ruvector-update.md
What ruvector_update does on Ruflo
AI agents use ruvector_update to create or update resources in Ruflo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ruflo environment.
Why ruvector_update is rated Medium
This tool creates or modifies data reversibly by updating vector records and associated metadata. It does not delete data (which would be Destructive), execute arbitrary code (which would be Execute), or handle financial transactions (Financial). The 'update' operation is characteristic of Write category.
From the tool's definition Tool name 'ruvector_update' combined with description 'Update an existing vector and/or its metadata' indicates modification of stored data in the vector database.
Attacks that exploit this kind of access
The rule that runs ruvector_update 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 ruvector_update, this is the rule to start with:
ruvector_update 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 Ruflo, apply this rule, and every ruvector_update call is checked against it from then on.
Questions about ruvector_update
Update an existing vector and/or its metadata. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ruflo MCP server in PolicyLayer and add a rule for ruvector_update: 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.
ruvector_update 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_update 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_update. 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_update 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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