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advance_proposal_status

[SUPPORT] Transition a workspace proposal through its lifecycle. Enforced transitions: raw → investigating|rejected; investigating → promoted|rejected|raw; rejected → raw. 'promoted' is a terminal status reachable only via promote_proposal (which also creates the sprint item). Returns the updated...

SERVERMeridian SOURCE@meridianmcp/mcp
Low RISK CLASS
Category Read
Parameters 22 required
Recommended Allowedsee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/advance-proposal-status.md

What advance_proposal_status does on Meridian

AI agents call advance_proposal_status 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.

ParameterTypeRequiredDescription
status string Yes Target status. 'promoted' is not allowed here — use promote_proposal instead.
proposal_id string Yes

Parameters from the server's own tool schema.

Why advance_proposal_status is rated Low

Even though advance_proposal_status only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about advance_proposal_status

What does the advance_proposal_status tool do? +

[SUPPORT] Transition a workspace proposal through its lifecycle. Enforced transitions: raw → investigating|rejected; investigating → promoted|rejected|raw; rejected → raw. 'promoted' is a terminal status reachable only via promote_proposal (which also creates the sprint item). Returns the updated proposal. 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 Read tool in the Meridian MCP Server, which means it retrieves data without modifying state.

What parameters does advance_proposal_status accept? +

advance_proposal_status accepts 2 parameters: status, proposal_id. Required: status, proposal_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on advance_proposal_status? +

Register the Meridian MCP server in PolicyLayer and add a rule for advance_proposal_status: 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 advance_proposal_status? +

advance_proposal_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit advance_proposal_status? +

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

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

advance_proposal_status 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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