remove_all_user_tenants
Remove a user from all tenants.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | The user ID |
Remove a user from all tenants.
| Name | Required | Description | Default |
|---|---|---|---|
| user_id | Yes | The user ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already convey destructiveHint=true and idempotentHint=true, so the description does not need to restate those traits. It does add the 'all tenants' scope, which is useful, but it does not disclose any additional behavioral details such as whether the user profile itself is deleted or whether removal is irreversible beyond what the destructive hint implies.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word earns its place by communicating the verb, object, and scope ('all tenants') efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter destructive operation, the description plus annotations provide the core information needed: what is removed, at what scope, and that it is destructive yet idempotent. It does not describe the return value or side effects on the user profile, but the tool's low complexity and strong schema/annotation coverage make it reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides 100% coverage with a clear description for user_id ('The user ID'). The tool description adds no extra parameter-level meaning, so the schema carries the full burden; baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Remove') and a precise resource/scope ('a user from all tenants'), clearly distinguishing this from the sibling remove_user_from_tenant by the 'all tenants' qualifier. An agent can immediately understand both what it does and how it differs from the single-tenant removal tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the description and sibling set: 'all tenants' signals this is the bulk version of remove_user_from_tenant. However, there is no explicit guidance on when to choose this tool over alternatives or any exclusions, so the agent must infer the appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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Tools are mostly organized as distinct resource/action pairs, but several clusters are easy to confuse: list subscription tools (add_subscribers_to_list vs bulk_subscribe_to_list vs subscribe_user_to_list), message vs message-content vs message-history retrieval, and the many journey/journey-template list/get tools. Detailed descriptions rescue most selections, but the sheer number of near-identical verb/resource names creates real misselection risk.
Almost all tools follow a snake_case verb_noun pattern (create_, get_, list_, replace_, send_, publish_, archive_). Minor deviations keep it from a perfect score: courier_installation_guide is noun-first, and add_bulk_users sits awkwardly next to the bulk_add_* family, but the overall convention is predictable and readable.
144 tools is an extreme working-set size for an agent to hold and choose from, far beyond the reasonable 3–15 range. Even for a broad platform like Courier, this should be split into focused sub-servers (templates, journeys, users, lists, preferences, etc.) to remain usable.
The surface is remarkably comprehensive, covering sending, templates, journeys, automations, users, tenants, lists, preferences, providers, routing, brands, audiences, translations, digests, bulk jobs, and audit events. Notable gaps exist—automation template CRUD and digest schedule management are missing—but most workflows can still be completed with workarounds.