This record as markdown: /tools/ruflo/pattern-store.md
What pattern_store does on Ruflo
AI agents use pattern_store 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 pattern_store is rated Medium
The tool writes a learned pattern to storage, which is a reversible data creation/modification operation. It does not execute code, delete data, or involve financial transactions. Severity is medium because in a swarm AI context, storing malicious or corrupted patterns could influence future agent behavior across the system.
From the tool's definition 'Store learned pattern' — creates/persists a new learned pattern entry
Attacks that exploit this kind of access
The rule that runs pattern_store 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 pattern_store, this is the rule to start with:
pattern_store 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 pattern_store call is checked against it from then on.
Questions about pattern_store
Store learned pattern. 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 pattern_store: 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.
pattern_store 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 pattern_store 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 pattern_store. 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.
pattern_store 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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