Query assignables to a ticket on Jira on the api /rest/api/3/user/assignable/search?project={project-name}. Do not use markdown in your query.
AI agents call query_assignable 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.
This tool performs a search/query operation that retrieves user information from Jira without creating, modifying, deleting, or executing any actions. It is a standard Read operation with minimal risk—the worst case is exposure of user/project information that is typically intended for team visibility in Jira.
From the tool's definition Tool queries assignable users via Jira's read-only API endpoint /rest/api/3/user/assignable/search. The endpoint retrieves a list of users who can be assigned to tickets, with no modification or deletion of data.
Documented attack patterns abuse exactly the kind of access query_assignable gives an agent:
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 query_assignable:
{
"version": "1",
"default": "deny",
"tools": {
"query_assignable": {}
}
} query_assignable is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Query assignables to a ticket on Jira on the api /rest/api/3/user/assignable/search?project={project-name}. Do not use markdown in your query. It is categorised as a Read tool in the Jira MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Jira MCP Server MCP server in PolicyLayer and add a rule for query_assignable: 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.
query_assignable is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the query_assignable 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.
Set action: deny in the PolicyLayer policy for query_assignable. 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.
query_assignable is provided by the Jira MCP Server MCP server (ks-gen-ai/jira-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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.
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11 Jira MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.