Retrieve the available fields required for the currently selected project and issue type. IMPORTANT: Before calling this tool, always check if the wizard state (analysis.metadata) already contains the required field metadata. - Only call this tool if the state is missing, incomplete, or a force r...
AI agents call issueCreation_getFields to retrieve information from Jira MCP Toolset without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only fetches metadata about fields available for a given project and issue type. It has no side effects — it does not create, modify, or delete any data. It is purely a read/query operation to support the issue creation wizard workflow.
From the tool's definition Retrieve the available fields required for the currently selected project and issue type
Documented attack patterns abuse exactly the kind of access issueCreation_getFields gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Jira MCP Toolset, and nothing reaches the server without passing your rules. This is the rule we recommend for issueCreation_getFields:
{
"version": "1",
"default": "deny",
"tools": {
"issueCreation_getFields": {}
}
} issueCreation_getFields is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve the available fields required for the currently selected project and issue type. IMPORTANT: Before calling this tool, always check if the wizard state (analysis.metadata) already contains the required field metadata. - Only call this tool if the state is missing, incomplete, or a force refresh is explicitly required. - Avoid redundant API calls; prefer using the existing state for efficiency and consistency. 1. Call this after selecting a project and issue type to know what information is needed, but only if the state does not already have it. 2. Inform the user of required and optional fields in a human-readable format. 3. Iteratively discuss with the user to ensure all desired fields are retrieved. 4. Do not move on to the next step until the user confirms it is OK to proceed. It is categorised as a Read tool in the Jira MCP Toolset MCP Server, which means it retrieves data without modifying state.
Register the Jira MCP Toolset MCP server in PolicyLayer and add a rule for issueCreation_getFields: 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 Toolset. Nothing to install.
issueCreation_getFields 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 issueCreation_getFields 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 issueCreation_getFields. 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.
issueCreation_getFields is provided by the Jira MCP Toolset MCP server (tbreeding/jira-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Jira MCP Toolset, 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.
19 Jira MCP Toolset tools catalogued and risk-classified — across an index of 43,000+ MCP servers.