AI agents use assign_cycle to create or update resources in Tickr — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tickr environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
number | string | Yes | Ticket display number, e.g. 'TKR-42' (legacy) or 'TKR-BUG-0042' (typed) |
project | string | Yes | Project slug |
cycle_id | string | Yes | UUID of the cycle |
Parameters from the server's own tool schema.
This tool modifies ticket metadata by assigning it to a sprint/cycle. The operation is reversible (a ticket can be reassigned to a different cycle or unassigned), so it falls under Write rather than Destructive. The blast radius is medium because incorrect cycle assignments could disrupt sprint planning and team coordination, but the change can be easily undone.
From the tool's definition Tool name 'assign_cycle' and description 'Assign a ticket to a cycle (sprint)' indicate a create or modify operation that updates a ticket's cycle assignment.
Attacks that exploit this kind of access
Assign a ticket to a cycle (sprint). It is categorised as a Write tool in the Tickr MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
assign_cycle accepts 3 parameters: number, project, cycle_id. Required: number, project, cycle_id. The full parameter table on this page comes from the server's own tool schema.
Register the Tickr MCP server in PolicyLayer and add a rule for assign_cycle: 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 Tickr. Nothing to install.
assign_cycle 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 assign_cycle 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 assign_cycle. 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.
assign_cycle is provided by the Tickr MCP server (@k-system/tickr-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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