get_assignable_users_for_issue

THE RISK

Low Risk

Why get_assignable_users_for_issue needs a policy

This tool retrieves a list of users who can be assigned to a Jira issue. It performs no data modification, deletion, or external execution. The information returned (user names/IDs) is metadata already accessible within the Jira project's security model. Misuse would have minimal impact—an agent could enumerate assignable users, but this is read-only and non-destructive.

From the tool's definition Tool name 'get_assignable_users_for_issue' and description 'Get assignable users for an issue' indicate a retrieval operation that queries user data without modification or side effects.

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

POLICY

How to control get_assignable_users_for_issue

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

policy.json

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

get_assignable_users_for_issue 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 Jira 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.

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EXPLORE

Related tools and policies

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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 →
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FAQ

Questions about get_assignable_users_for_issue

What does the get_assignable_users_for_issue tool do? +

Get assignable users for an issue. It is categorised as a Read tool in the Jira MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_assignable_users_for_issue? +

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

What risk level is get_assignable_users_for_issue? +

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

Can I rate-limit get_assignable_users_for_issue? +

Yes. Add a rate_limit block to the get_assignable_users_for_issue 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_assignable_users_for_issue completely? +

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

get_assignable_users_for_issue is provided by the Jira MCP Server MCP server (redhat-community-ai-tools/jira-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Jira MCP Server tool call.

Start from Jira 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 →