delete_tenant
Delete a tenant by its ID.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tenant_id | Yes | The tenant ID to delete |
Delete a tenant by its ID.
| Name | Required | Description | Default |
|---|---|---|---|
| tenant_id | Yes | The tenant ID to delete |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description is consistent with the annotations (destructiveHint=true, readOnlyHint=false) but adds no behavioral context beyond what the annotations already convey. It does not disclose whether deletion is permanent, whether it cascades to related records (users, preferences, templates), or whether special authorization is required, and the idempotentHint=true is neither confirmed nor explained. No contradiction with annotations exists.
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?
A single six-word sentence, 'Delete a tenant by its ID,' with zero filler and the action front-loaded. It is appropriately sized for a one-parameter tool where every word earns its place.
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 simple one-parameter, no-output-schema tool whose annotations already carry the safety profile, the description is nearly sufficient. However, a destructive tenant operation would benefit from at least a note on permanence or cascade effects — for example, whether deleting a tenant also removes its users, preferences, and templates — to fully inform an agent's decision.
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?
Schema description coverage is 100%: tenant_id is already documented as 'The tenant ID to delete' and marked required. The description's phrase 'by its ID' reinforces the parameter but adds no format, source, or validation detail beyond the schema, so the baseline 3 applies.
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 uses a specific verb ('Delete') and a specific resource ('tenant') and identifies the targeting mechanism ('by its ID'). It distinguishes cleanly among the many sibling delete_* tools, since 'tenant' unambiguously names the entity itself rather than tenant preferences, templates, audiences, brands, or providers.
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?
No guidance is provided on when this tool should be used, what preconditions exist (e.g., removing tenant users or associated data first), or how it relates to alternatives in the sibling set. An agent receives no context to decide between delete_tenant and related operations like remove_user_from_tenant or archiving tools, nor any warning about the consequences of calling it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.