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put_notification_content

Idempotent

Replace the elemental content of a V2 notification template. Overwrites all elements. Use channel elements to target specific channels. Multi-channel example: elements: [{ type: "channel", channel: "email", elements: [{ type: "meta", title: "Hello" }, { type: "text", content: "Email body" }] }, { type: "channel", channel: "push", elements: [{ type: "meta", title: "Hello" }, { type: "text", content: "Push body" }] }, { type: "channel", channel: "inbox", elements: [{ type: "text", content: "Inbox plain text only" }] }].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTemplate state after update
versionNoContent version string
elementsYesArray of elemental content nodes
notification_idYesThe notification template ID (nt_ prefix)

TDQS

A4.1/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the operation as mutating, idempotent, and non-destructive. The description adds the important behavioral caveat that all existing elements are overwritten, plus the channel-targeting structure. There is no contradiction with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The key facts are front-loaded: replace, overwrite, and channel targeting. The multi-channel example is lengthy but earns its place by clarifying the complex nested structure of the elements parameter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The example fills the most significant gap for the nested elements structure, and schema coverage handles the remaining parameters. It could be slightly more complete by cataloging allowed element types or explaining version behavior, but the core usage is well covered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage, the parameters are already documented at a basic level. The description goes further by providing a concrete multi-channel elements example that illustrates how channel, meta, and text nodes nest inside the otherwise generic elements array.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb and resource: 'Replace the elemental content of a V2 notification template.' It immediately clarifies scope with 'Overwrites all elements,' which differentiates this from singular-element operations such as put_notification_element.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a useful in-tool guideline ('Use channel elements to target specific channels') and implies a full-replacement workflow with 'Overwrites all elements.' However, it never name-checks alternatives like put_notification_element or explicitly states when this tool should be avoided in favor of a partial update.

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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TDQS

B3.1/5.0
Disambiguation3/5

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.

Naming Consistency4/5

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.

Tool Count1/5

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.

Completeness4/5

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.