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record_experiment_event

[SUPPORT] 3f6b8715 — manually record an experiment_events row (dead_end|pivot|breakthrough|note|milestone). Separate from, and coexists freely alongside, the auto-skeleton events start_experiment_run/complete_experiment_run/promote_experiment_run/expire_stale_runs write unconditionally — this is ...

SERVERMeridian SOURCE@meridianmcp/mcp
Critical RISK CLASS
Category Destructive
Parameters 92 required
Recommended Hiddensee the rule below
Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/io-github-ajc3xc-meridian/record-experiment-event.md

What record_experiment_event does on Meridian

AI agents call record_experiment_event to permanently remove resources in Meridian, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
body string —
label string —
run_id string — Optional — omit for an experiment-level event not tied to one run.
event_type string Yes
project_id string —
session_id string —
artifact_ids array —
project_name string — Project name — an alternative to project_id; resolved to the id internally. project_id wins if both are given.
experiment_id string Yes

Parameters from the server's own tool schema.

Why record_experiment_event is rated Critical

An AI agent that decides to call record_experiment_event doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Meridian is gone. There is no undo for destructive operations.

Risk signalsAccepts raw HTML/template content (body) · Bulk/mass operation — affects multiple targets

Questions about record_experiment_event

What does the record_experiment_event tool do? +

[SUPPORT] 3f6b8715 — manually record an experiment_events row (dead_end|pivot|breakthrough|note|milestone). Separate from, and coexists freely alongside, the auto-skeleton events start_experiment_run/complete_experiment_run/promote_experiment_run/expire_stale_runs write unconditionally — this is the enrichment path for everything else worth recording. 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 Destructive tool in the Meridian MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does record_experiment_event accept? +

record_experiment_event accepts 9 parameters: body, label, run_id, event_type, project_id, session_id, artifact_ids, project_name, experiment_id. Required: event_type, experiment_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on record_experiment_event? +

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

record_experiment_event is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit record_experiment_event? +

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

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

record_experiment_event 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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