Low Risk

get_project_permission_scheme

Get permission scheme for a project.

How to control get_project_permission_scheme ↓

What get_project_permission_scheme does on Jira MCP Server

AI agents call get_project_permission_scheme to retrieve information from Jira MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_project_permission_scheme needs a policy

This tool queries and retrieves existing permission scheme data for a Jira project. It performs a read-only operation that does not create, modify, delete, or execute any actions. The data retrieved is configuration metadata about project permissions, not sensitive user data that would warrant higher severity.

From the tool's definition Tool name 'get_project_permission_scheme' and description 'Get permission scheme for a project' indicate a retrieval operation with no modification or side effects.

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

How to control get_project_permission_scheme

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_project_permission_scheme:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_project_permission_scheme": {}
  }
}

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

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

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Questions about get_project_permission_scheme

What does the get_project_permission_scheme tool do? +

Get permission scheme for a project. 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_project_permission_scheme? +

Register the Jira MCP Server MCP server in PolicyLayer and add a rule for get_project_permission_scheme: 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_project_permission_scheme? +

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

Can I rate-limit get_project_permission_scheme? +

Yes. Add a rate_limit block to the get_project_permission_scheme 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_project_permission_scheme completely? +

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

get_project_permission_scheme 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.

Free to start. No card required.

30 Jira MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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