resume_wave
[SUPPORT] efaa918a — STALE-MANIFEST GATING: check whether a wave run opened by start_wave_run is still safe to resume against the LIVE board before you act on its pinned manifest. Re-queries the board across ALL non-done statuses (pending, todo, in_progress, provisional_complete, indeterminate, f...
This record as markdown: /tools/io-github-ajc3xc-meridian/resume-wave.md
What resume_wave does on Meridian
AI agents use resume_wave 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 |
|---|---|---|---|
goal_token | string | — | Optional <goal_token> value to verify via verify_handoff_token, scoped to this run's project_id. |
wave_run_id | string | Yes | The immutable id returned by start_wave_run. |
presented_body | string | — | Optional canonical body text (e.g. the /goal block) to check against the token's stored body_hash, if any. Only meaningful together with goal_token. |
Parameters from the server's own tool schema.
Why resume_wave is rated Medium
An AI agent can call resume_wave faster than any human can review: one bad instruction and it creates or modifies resources in Meridian by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs resume_wave 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 resume_wave, this is the rule to start with:
resume_wave 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 resume_wave call is checked against it from then on.
Questions about resume_wave
[SUPPORT] efaa918a — STALE-MANIFEST GATING: check whether a wave run opened by start_wave_run is still safe to resume against the LIVE board before you act on its pinned manifest. Re-queries the board across ALL non-done statuses (pending, todo, in_progress, provisional_complete, indeterminate, failed, skipped, pushed) via build_board_snapshot — NEVER status='pending' alone, which is the exact b763d2ba bug class (a sibling-claimed in_progress item looks like it vanished). Fails CLOSED with SPECIFIC, actionable reasons the moment the live board differs from the pinned manifest in ANY of: revision_hash mismatch (added/removed items, status/dependency/resource/pointer changes — reusing diff_board_snapshots's added/removed/changed_items shape verbatim as resume_delta), an item's wave membership changed, or an item was newly marked blocker_kind='superseded' (its premise was replaced). Optionally also verifies a handoff token: pass goal_token (+ presented_body to additionally check body-hash binding, efaa918a — closes the 2ee0000c gap where a genuine token could be re-attached to an edited body and still verify). Token outcomes keep the four existing distinct meanings from verify_handoff_token (not_found/wrong_project are real spoofing signals; already_consumed/expired usually mean a sibling already acted) PLUS the new body_mismatch (a real spoofing signal — genuine token, edited body). Read-only w.r.t. the wave run itself (does not advance wave_run status — call advance_wave_run_status separately once resumable). Returns {resumable, wave_run_id, status, resume_delta, pinned_revision_hash, live_revision_hash, token_check} on success, or {error, resumable: false, reasons, resume_delta, token_check} naming exactly what is stale. 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 Write tool in the Meridian MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
resume_wave accepts 3 parameters: goal_token, wave_run_id, presented_body. Required: wave_run_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 resume_wave: 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.
resume_wave 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 resume_wave 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 resume_wave. 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.
resume_wave 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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