Add or update a Jira instance configuration. Saves to config and makes it available immediately without restart. To add a new instance, provide name + email + token + baseUrl. To update an existing instance (e.g. change projects or set as default), just provide name and the fields to change.
AI agents use jira_add_instance to create or update resources in Jira MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Jira MCP Server environment.
This tool creates or modifies configuration data (Jira instance settings including name, email, token, and baseUrl). While these changes are reversible (can be updated again), they affect system-wide behavior and persist across sessions. The ability to add credentials and change default instances poses risk if an agent misconfigures access or inadvertently stores invalid credentials.
From the tool's definition Tool description states 'Add or update a Jira instance configuration. Saves to config and makes it available immediately without restart.' The capability to add or update configurations is a reversible write operation.
Attacks that exploit this kind of access
Add or update a Jira instance configuration. Saves to config and makes it available immediately without restart. To add a new instance, provide name + email + token + baseUrl. To update an existing instance (e.g. change projects or set as default), just provide name and the fields to change. It is categorised as a Write tool in the Jira MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Jira MCP Server MCP server in PolicyLayer and add a rule for jira_add_instance: 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.
jira_add_instance is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the jira_add_instance 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 jira_add_instance. 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.
jira_add_instance is provided by the Jira MCP Server MCP server (rui-branco/jira-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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