This record as markdown: /tools/ruflo/agent-update.md
What agent_update does on Ruflo
AI agents use agent_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 agent_update is rated Medium
This tool modifies agent properties or configuration state without executing arbitrary operations or destroying data. In a swarm coordination system, updating an agent's parameters or state is a Write operation.
From the tool's definition Tool name 'agent_update' with description 'Mutate a tracked agent' indicates modification of agent state/configuration. The verb 'mutate' combined with 'update' confirms reversible data changes rather than deletion or execution.
Attacks that exploit this kind of access
The rule that runs agent_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 agent_update, this is the rule to start with:
agent_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 agent_update call is checked against it from then on.
Questions about agent_update
Mutate a tracked agent\. 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 agent_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.
agent_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 agent_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 agent_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.
agent_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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