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split_sprint_item

[SUPPORT] Split a sprint item into multiple smaller items. The original is closed (skipped) and N new items are created with split_from referencing the original. Returns list of new items. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata -- including tas...

SERVERMeridian SOURCE@meridianmcp/mcp
Critical RISK CLASS
Category Destructive
Parameters 42 required
Recommended Hiddensee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/split-sprint-item.md

What split_sprint_item does on Meridian

AI agents call split_sprint_item to permanently remove resources in Meridian, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
titles array Yes Titles for the new items (minimum 2).
item_id string Yes ID of the item to split.
project_id string —
project_name string — Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given.

Parameters from the server's own tool schema.

Why split_sprint_item is rated Critical

An AI agent that decides to call split_sprint_item doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Meridian is gone. There is no undo for destructive operations.

Questions about split_sprint_item

What does the split_sprint_item tool do? +

[SUPPORT] Split a sprint item into multiple smaller items. The original is closed (skipped) and N new items are created with split_from referencing the original. Returns list of new items. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata -- including task log entries, pinned decisions, sprint items, notes, handoff/goal state, and HITL queue items -- are sent to and stored in Meridian's service, in an isolated per-tenant Postgres database (Neon); self-hosted deployments keep the same categories in the configured local SQLite/Postgres database. This data is visible in the dashboard and API, and may resurface in later project context or handoffs. Notes and pinned decisions can be deleted individually; task log entries and sprint items can be deleted via the dashboard/API (not exposed as an agent-facing tool); HITL queue items and handoff state have no per-record delete. Full removal of any of this data is available via project or account deletion, using the documented controls. Do not include secrets. It is categorised as a Destructive tool in the Meridian MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does split_sprint_item accept? +

split_sprint_item accepts 4 parameters: titles, item_id, project_id, project_name. Required: titles, item_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on split_sprint_item? +

Register the Meridian MCP server in PolicyLayer and add a rule for split_sprint_item: 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 Meridian. Nothing to install.

What risk level is split_sprint_item? +

split_sprint_item is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit split_sprint_item? +

Yes. Add a rate_limit block to the split_sprint_item 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 split_sprint_item completely? +

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

split_sprint_item is provided by the Meridian MCP server (@meridianmcp/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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