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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
Medium RISK CLASS
Category Write
Parameters 22 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, 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 use advance_proposal_status 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.

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 Medium

This tool modifies the state of an existing proposal by advancing it through defined lifecycle stages. It is a reversible state change (transitions can cycle back, e.g., rejected → raw) with no code execution, deletion, or financial action. The blast radius is medium since misuse could incorrectly advance or reject proposals, disrupting project coordination workflows.

From the tool's definition Transition a workspace proposal through its lifecycle. Enforced transitions: raw → investigating|rejected; investigating → promoted|rejected|raw; rejected → raw. Returns the updated proposal.

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 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.

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 Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

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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