daa_learning_status

SERVERClaude Flow SOURCEclaude-flow

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/io-github-ruvnet-claude-flow/daa-learning-status.md

WHAT IT DOES

What daa_learning_status does on Claude Flow

AI agents call daa_learning_status to retrieve information from Claude Flow 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 diagnostic or state information about distributed adaptive agents (DAA). It reads the current learning status and cognitive patterns of agents within the swarm, enabling introspection and monitoring. No side effects, data modification, code execution, or destructive operations are implied.

From the tool's definition Tool name 'daa_learning_status' and description 'Get learning status for DAA agents' indicates a retrieval operation.

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 Claude Flow, 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 Claude Flow, 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? +

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. It is categorised as a Read tool in the Claude Flow MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on daa_learning_status? +

Register the Claude Flow 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 Claude Flow. 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 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.

KEEP EXPLORING

More on Claude Flow, and thousands of servers like it.

This server

All 496 Claude Flow tools →

Across the catalogue

claude_git_status on Claude Bridge →get_task_status on 0rca Dojo MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →