supersede_learning

A other tool on the CogniRepo MCP server.

SERVERCogniRepo SOURCEpypi:cognirepo

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/ashlesh-t-cognirepo/supersede-learning.md

WHAT IT DOES

What supersede_learning does on CogniRepo

AI agents call supersede_learning as a supporting operation in CogniRepo workflows.

RISK

Why supersede_learning is rated Low

The description is empty, so the tool's actual behavior cannot be determined. The name 'supersede_learning' suggests it may overwrite or replace stored learned information in the persistent memory system, which could be Destructive or Write. However, given the ambiguity, I cannot confidently assign a higher-severity category. Confidence is low due to the lack of description.

From the tool's definition Tool name 'supersede_learning' with empty description provides no concrete behavioral information.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs supersede_learning safely

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

supersede_learning Rate-limited

supersede_learning gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "supersede_learning": {
      "limits": [
        {
          "counter": "supersede_learning_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about supersede_learning

What does the supersede_learning tool do? +

supersede_learning is a other tool on the CogniRepo MCP server. It is categorised as a Other tool in the CogniRepo MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on supersede_learning? +

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

What risk level is supersede_learning? +

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

Can I rate-limit supersede_learning? +

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

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

supersede_learning is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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