list_learnings

[DEPRECATED: Use search_all_knowledge instead] List stored learnings. PREFER search_all_knowledge for unified knowledge search across learnings, recon findings, and gaps.

SERVERNodebench SOURCEnodebench-mcp

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-homenshum-nodebench/list-learnings.md

WHAT IT DOES

What list_learnings does on Nodebench

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

RISK

Why list_learnings is rated Low

This tool queries or retrieves stored learnings with no side effects. Despite being deprecated, it remains a data retrieval operation that does not create, modify, delete, or execute any operations. The low severity reflects minimal blast radius—listing learnings poses no risk of data loss, financial impact, or system compromise even if misused by an agent.

From the tool's definition Tool description states 'List stored learnings' and is explicitly deprecated in favor of a search function, indicating it retrieves data without modification. The verb 'list' is characteristic of read-only operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_learnings safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_learnings, this is the rule to start with:

list_learnings Allowed

list_learnings 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": {
    "list_learnings": {}
  }
}

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

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

FAQ

Questions about list_learnings

What does the list_learnings tool do? +

[DEPRECATED: Use search_all_knowledge instead] List stored learnings. PREFER search_all_knowledge for unified knowledge search across learnings, recon findings, and gaps. It is categorised as a Read tool in the Nodebench MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_learnings? +

Register the Nodebench MCP server in PolicyLayer and add a rule for list_learnings: 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 Nodebench. Nothing to install.

What risk level is list_learnings? +

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

Can I rate-limit list_learnings? +

Yes. Add a rate_limit block to the list_learnings 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 list_learnings completely? +

Set action: deny in the PolicyLayer policy for list_learnings. 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 list_learnings? +

list_learnings is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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