get_user_assignments

THE RISK

Low Risk

Why get_user_assignments needs a policy

This tool retrieves user information (assignments/details) without creating, modifying, or deleting any data. It is a straightforward query operation typical of Read category tools. The low severity reflects minimal blast radius—retrieving user data poses no direct risk to system integrity or business operations. High confidence due to clear read-only semantics in both name and description.

From the tool's definition Tool name 'get_user_assignments' and description 'Get a specific user' indicate a retrieval operation with no modification or side effects.

Documented attack patterns abuse exactly the kind of access get_user_assignments gives an agent:

POLICY

How to control get_user_assignments

PolicyLayer is an MCP gateway — it sits between your AI agents and Basecamp MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_user_assignments:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_user_assignments": {}
  }
}

get_user_assignments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Basecamp MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_user_assignments

What does the get_user_assignments tool do? +

Get a specific user. It is categorised as a Read tool in the Basecamp MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_user_assignments? +

Register the Basecamp MCP Server MCP server in PolicyLayer and add a rule for get_user_assignments: 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 Basecamp MCP Server. Nothing to install.

What risk level is get_user_assignments? +

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

Can I rate-limit get_user_assignments? +

Yes. Add a rate_limit block to the get_user_assignments 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_assignments completely? +

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

get_user_assignments is provided by the Basecamp MCP Server MCP server (qusaiisaleem/basecamp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Basecamp MCP Server tool call.

Start from Basecamp MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →