configure_wave_gate
[SUPPORT] 74a8f420 — PLANNING: configure (or on-the-fly reconfigure) a deterministic action pipeline attached to a wave or wave-range, ENFORCED STRUCTURALLY — not just advisory /goal prose. Once set, claim_sprint_item refuses (WAVE_GATE_PENDING) to claim any item whose wave sorts beyond wave_end ...
This record as markdown: /tools/io-github-ajc3xc-meridian/configure-wave-gate.md
What configure_wave_gate does on Meridian
AI agents use configure_wave_gate 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 |
|---|---|---|---|
actor | string | — | Optional session_id or actor name to record who configured the gate. |
actions | array | Yes | Non-empty ordered list of {"type": push_dev|push_main|deploy|wait|run_verification, ...params} action dicts — the deterministic pipeline that must run before th |
version | string | — | ed8e4524 — Optional sprint-version bucket this gate belongs to (e.g. 'v0.2.6'). Wins over session_id's resolved scope. Omit (and omit session_id) for the legacy |
wave_end | string | Yes | The boundary wave, e.g. 'wave-3'. Any item in a later wave (same 'prefix-N' family) is structurally blocked from claim_sprint_item until this gate completes. |
project_id | string | — | |
session_id | string | — | ed8e4524 — Optional: resolve the version scope from this session's own sprint_version (same helper handoff._resolve_session_sprint_version uses for checkpoint) |
wave_start | string | — | Optional: first wave covered by this gate (documentation only, defaults to wave_end) — e.g. wave_start='wave-1' with wave_end='wave-3' covers waves 1-3 under on |
project_name | string | — | Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given. |
Parameters from the server's own tool schema.
Why configure_wave_gate is rated Medium
An AI agent can call configure_wave_gate 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 configure_wave_gate 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 configure_wave_gate, this is the rule to start with:
configure_wave_gate 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 configure_wave_gate call is checked against it from then on.
Questions about configure_wave_gate
[SUPPORT] 74a8f420 — PLANNING: configure (or on-the-fly reconfigure) a deterministic action pipeline attached to a wave or wave-range, ENFORCED STRUCTURALLY — not just advisory /goal prose. Once set, claim_sprint_item refuses (WAVE_GATE_PENDING) to claim any item whose wave sorts beyond wave_end until complete_wave_gate records real run_verification evidence for that boundary. actions is an ordered, non-empty list of {"type": ...} dicts — type must be one of push_dev | push_main | deploy | wait | run_verification (push_dev/push_main/deploy are run by the executor via trigger_workflow; run_verification maps onto the run_verification tool whose output complete_wave_gate requires as evidence; wait is a plain pause step; extra keys per action, e.g. {"type": "wait", "seconds": 30}, are preserved verbatim). wave_start (defaults to wave_end) documents a multi-wave range covered by one gate checkpoint. Re-configuring an un-passed wave_end is an upsert — the pipeline can be revised right up until an executor completes it; once passed the config is immutable (returns {"error": ...}). Returns {configured, gate_config_id, project_id, wave_start, wave_end, actions} on success. ed8e4524 — SCOPED TO SPRINT VERSION: pass version (or session_id to auto-resolve the calling session's scope) so two different sprint versions that happen to share the SAME wave_end label never reconfigure or immutably block each other's gate — omit both to keep the exact prior project-wide behavior for a single-version project. 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.
configure_wave_gate accepts 8 parameters: actor, actions, version, wave_end, project_id, session_id, wave_start, project_name. Required: actions, wave_end. 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 configure_wave_gate: 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.
configure_wave_gate 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 configure_wave_gate 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 configure_wave_gate. 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.
configure_wave_gate 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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