complete_workspace_sprint_item
[MAINTENANCE] Mark a workspace personal-backlog item done (stamps completed_at). Returns the updated item. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and stored in Meridian's service; self-hosted deployments keep them in the configured ...
This record as markdown: /tools/io-github-ajc3xc-meridian/complete-workspace-sprint-item.md
What complete_workspace_sprint_item does on Meridian
AI agents use complete_workspace_sprint_item to create or update resources in Meridian, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Meridian environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
item_id | string | Yes |
Parameters from the server's own tool schema.
Why complete_workspace_sprint_item is rated Medium
This tool creates or modifies data reversibly by updating a sprint item's completion status. While it changes persistent state, the action is reversible (the completed_at marker can be cleared or the item unmarked). The tool does not delete data irreversibly, execute arbitrary code, or move funds.
From the tool's definition Mark a workspace personal-backlog item done (stamps completed_at). Returns the updated item. Persistent-state disclosure indicates this modifies and persists data (completed_at timestamp) in a database.
Attacks that exploit this kind of access
The rule that runs complete_workspace_sprint_item safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meridian, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For complete_workspace_sprint_item, this is the rule to start with:
complete_workspace_sprint_item stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every complete_workspace_sprint_item call is checked against it from then on.
Questions about complete_workspace_sprint_item
[MAINTENANCE] Mark a workspace personal-backlog item done (stamps completed_at). Returns the updated item. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and stored in Meridian's service; self-hosted deployments keep them in the configured local SQLite/Postgres database. This data is visible in the dashboard/API and later project context or handoffs. Delete individual tasks, notes, or decisions where supported, or delete the project/account using the documented controls. Do not include secrets. It is categorised as a Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
complete_workspace_sprint_item accepts 1 parameter: item_id. Required: item_id. The full parameter table on this page comes from the server's own tool schema.
Register the Meridian MCP server in PolicyLayer and add a rule for complete_workspace_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.
complete_workspace_sprint_item 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 complete_workspace_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.
Set action: deny in the PolicyLayer policy for complete_workspace_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.
complete_workspace_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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