get_workspace_sprint_items
[MAINTENANCE] Read-only: List workspace personal-backlog items (grouped by 'group', then position). Optional 'status' (todo/pending/in_progress/done/skipped/failed) and 'group' filters. Persistent-state disclosure: on hosted Meridian, supplied text and project/session metadata are sent to and sto...
This record as markdown: /tools/io-github-ajc3xc-meridian/get-workspace-sprint-items.md
What get_workspace_sprint_items does on Meridian
AI agents call get_workspace_sprint_items to retrieve information from Meridian without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
group | string | — | Filter to a single cross-project bucket. |
status | string | — |
Parameters from the server's own tool schema.
Why get_workspace_sprint_items is rated Low
This tool retrieves and queries existing sprint items with optional filters. It performs no data mutation, execution of code, deletion, or financial operations. The data disclosure mentioned in the description (that text is stored on Meridian service or local database and visible in dashboard/API) is a privacy/persistence concern relevant to deployment architecture, not a functional capability of this tool itself.
From the tool's definition Tool description explicitly states 'Read-only: List workspace personal-backlog items' with optional filtering by status and group. Returns structured data without modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_workspace_sprint_items 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 get_workspace_sprint_items, this is the rule to start with:
get_workspace_sprint_items is read-only, so it stays allowed. 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 get_workspace_sprint_items call is checked against it from then on.
Questions about get_workspace_sprint_items
[MAINTENANCE] Read-only: List workspace personal-backlog items (grouped by 'group', then position). Optional 'status' (todo/pending/in_progress/done/skipped/failed) and 'group' filters. 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 Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.
get_workspace_sprint_items accepts 2 parameters: group, status. 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 get_workspace_sprint_items: 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.
get_workspace_sprint_items 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 get_workspace_sprint_items 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 get_workspace_sprint_items. 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.
get_workspace_sprint_items 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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