delete_custom_hook
[MAINTENANCE] 273287cb — delete a user-defined hook by id (the id returned by add_custom_hook / get_custom_hooks). Idempotent: deleting an already-gone hook returns {deleted:false} rather than erroring, matching delete_sprint_item_pointer's convention. Does NOT remove any already-written .claude/...
This record as markdown: /tools/io-github-ajc3xc-meridian/delete-custom-hook.md
What delete_custom_hook does on Meridian
AI agents call delete_custom_hook 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
hook_id | string | Yes | The hook id to delete. |
project_id | string | — | |
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 delete_custom_hook is rated Critical
An AI agent that decides to call delete_custom_hook 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.
Attacks that exploit this kind of access
The rule that runs delete_custom_hook 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 delete_custom_hook, this is the rule to start with:
delete_custom_hook is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Meridian, apply this rule, and every delete_custom_hook call is checked against it from then on.
Questions about delete_custom_hook
[MAINTENANCE] 273287cb — delete a user-defined hook by id (the id returned by add_custom_hook / get_custom_hooks). Idempotent: deleting an already-gone hook returns {deleted:false} rather than erroring, matching delete_sprint_item_pointer's convention. Does NOT remove any already-written .claude/hooks/<slug>.* files — those are simply no longer refreshed on the next generate_handoff. 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.
delete_custom_hook accepts 3 parameters: hook_id, project_id, project_name. Required: hook_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 delete_custom_hook: 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.
delete_custom_hook is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_custom_hook 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 delete_custom_hook. 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.
delete_custom_hook 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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