This record as markdown: /tools/io-github-ruvnet-claude-flow/ruvector-update.md
What ruvector_update does on Claude Flow
AI agents use ruvector_update to create or update resources in Claude Flow, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Claude Flow environment.
Why ruvector_update is rated Medium
The tool updates vector data and metadata, which is a write operation that creates or modifies data in a reversible manner. In the context of a hive-mind AI orchestration system, vectors likely represent learned embeddings or agent states.
From the tool's definition Tool description states 'Update an existing vector and/or its metadata' — this modifies data reversibly without deletion or irreversible consequences.
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 Claude Flow, 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 Claude Flow, 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 Claude Flow MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Claude Flow 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 Claude Flow. 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 Claude Flow MCP server (claude-flow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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