record_user_preference

A write tool on the CogniRepo MCP server.

SERVERCogniRepo SOURCEpypi:cognirepo

Medium RISK CLASS

Category Write

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/record-user-preference.md

WHAT IT DOES

What record_user_preference does on CogniRepo

AI agents use record_user_preference to create or update resources in CogniRepo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your CogniRepo environment.

RISK

Why record_user_preference is rated Medium

The name suggests writing/storing user preference data to persistent memory, which aligns with the server's purpose of providing persistent memory and context. This is a Write operation as preferences can typically be updated or overwritten. Confidence is lowered due to the empty description.

From the tool's definition Tool name 'record_user_preference' implies creating or modifying stored preference data. Description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

record_user_preference Rate-limited

record_user_preference 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "record_user_preference": {
      "limits": [
        {
          "counter": "record_user_preference_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about record_user_preference

What does the record_user_preference tool do? +

record_user_preference is a write tool on the CogniRepo MCP server. It is categorised as a Write tool in the CogniRepo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on record_user_preference? +

Register the CogniRepo MCP server in PolicyLayer and add a rule for record_user_preference: 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 record_user_preference? +

record_user_preference is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit record_user_preference? +

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

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

record_user_preference 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.

KEEP EXPLORING

More on CogniRepo, and thousands of servers like it.

This server

All 34 CogniRepo tools →

Across the catalogue

aroflo_create_or_update_record on AroFlo MCP →team_manager_record_checkpoint on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →