daa_learning_status

Get learning status for DAA agents Use when native Task is wrong because you need agents that adapt their cognitive pattern (convergent / divergent / lateral / systems / critical) per-task and share knowledge across the swarm. For static one-shot agents, native Task is fine.

SERVERRuflo SOURCEruvnet/ruflo

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ruflo/daa-learning-status.md

WHAT IT DOES

What daa_learning_status does on Ruflo

AI agents call daa_learning_status to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why daa_learning_status is rated Low

This tool retrieves status information about agent learning patterns and cognitive states. It performs a passive query operation ('Get') with no side effects, data modifications, code execution, or destructive capabilities. The mention of 'adaptive memory' and 'self-learning' in the context describes system capabilities, not what this specific tool does—which is simply reading status.

From the tool's definition Tool name 'daa_learning_status' and description 'Get learning status' indicate a retrieval operation that queries the learning state of DAA agents without modifying data or triggering external actions.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs daa_learning_status 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 daa_learning_status, this is the rule to start with:

daa_learning_status Allowed

daa_learning_status is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "daa_learning_status": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every daa_learning_status call is checked against it from then on.

FAQ

Questions about daa_learning_status

What does the daa_learning_status tool do? +

How do I enforce a policy on daa_learning_status? +

Register the Ruflo MCP server in PolicyLayer and add a rule for daa_learning_status: 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.

What risk level is daa_learning_status? +

daa_learning_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit daa_learning_status? +

Yes. Add a rate_limit block to the daa_learning_status 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.

How do I block daa_learning_status completely? +

Set action: deny in the PolicyLayer policy for daa_learning_status. 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.

What MCP server provides daa_learning_status? +

daa_learning_status 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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