This record as markdown: /tools/ruflo/store-reasoning.md
What store-reasoning does on Ruflo
AI agents use store-reasoning 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 store-reasoning is rated Medium
Storing a reasoning pattern is a write operation: it creates or modifies persistent data within the agent harness. Given the server's self-learning swarm intelligence context, injecting a reasoning pattern could influence agent behavior at scale, raising the severity to medium. It is reversible in principle (patterns can be updated or deleted), so it does not qualify as Destructive.
From the tool's definition "Store a reasoning pattern" — the tool persists/writes data (a reasoning pattern) into the agent system's memory or database.
Attacks that exploit this kind of access
The rule that runs store-reasoning 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 store-reasoning, this is the rule to start with:
store-reasoning 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 store-reasoning call is checked against it from then on.
Questions about store-reasoning
Store a reasoning 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 store-reasoning: 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.
store-reasoning 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 store-reasoning 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 store-reasoning. 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.
store-reasoning 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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