get_user_profile

A read tool on the CogniRepo MCP server.

SERVERCogniRepo SOURCEpypi:cognirepo

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/ashlesh-t-cognirepo/get-user-profile.md

WHAT IT DOES

What get_user_profile does on CogniRepo

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

RISK

Why get_user_profile is rated Low

The tool name and server context indicate a query/retrieval operation with no side effects. No modification, deletion, execution, or financial activity is implied. Empty description reduces confidence slightly, but the naming pattern and server purpose (persistent memory) strongly suggest Read classification.

From the tool's definition Tool name 'get_user_profile' suggests retrieval of user profile data. Description is empty, limiting direct evidence. Sibling tools (episodic_search, context_pack, cross_repo_search, get_last_context) are all Read operations typical of a memory/context server.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

get_user_profile Allowed

get_user_profile 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": {
    "get_user_profile": {}
  }
}

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

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

FAQ

Questions about get_user_profile

What does the get_user_profile tool do? +

get_user_profile is a read tool on the CogniRepo MCP server. It is categorised as a Read tool in the CogniRepo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_user_profile? +

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

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

Can I rate-limit get_user_profile? +

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

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

get_user_profile 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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