HelpWell

Write a newsletter with AI

generate_newsletter

Has the workspace's AI model write a newsletter from a brief (using only the facts in it) and saves it as a draft to review. Nothing is sent. Needs the AI set up in Settings → AI.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "brief": "<brief>",
      "ctaUrl": "<ctaUrl>"
    },
    "name": "generate_newsletter"
  }
}

Input Schema

Name	Required	Description
`name`	No	Internal name for the draft.
`brief`	Yes	What to say, with every fact to include.
`ctaUrl`	Yes	Where the button links.
`format`	No	blocks (editable, the default) or a designed HTML body.
`layout`	No
`audience`	No	Who it goes to: contacts in ANY (match "any") or ALL (match "all") of the included segments, tags and filters, minus the excluded ones. Nothing included means every contact of the product. Consent and suppressions are always applied on top.
`productId`	No	Product id from list_products.

Schema Changelog

Changes observed during successful MCP inspections.

Changed10 schema fields changedOct 26, 2026

changedInput schema / properties / audience / properties / excludeFilters / description

Previous value: -"Conditions on contact fields. mode \"all\" or \"any\"; each rule is { field, operator, value }. Fields: contact.name, contact.email, contact.consent (subscribed | unknown | unsubscribed), contact.email_status, contact.product_id, contact.created_at, contact.last_seen_at, contact.attributes.<field> (tags are contact.attributes.tags), contact.events.<event>. Operators: is, is_not, contains, not_contains, gt, lt, exists, missing, before, after (dates are ISO or now-7d)."New value: +"Conditions on contact fields. mode \"all\" or \"any\"; each rule is { field, operator, value }. Fields: contact.name, contact.email, contact.consent (subscribed | unknown | unsubscribed), contact.email_status, contact.product_id, contact.created_at, contact.last_seen_at, contact.attributes.<field> (tags are contact.attributes.tags), contact.events.<event>. Operators: is, is_not, contains, not_contains, gt, gte, lt, lte, between (value and value2), any_of and none_of (value is a list of strings), exists, missing, before, after (dates are ISO or now-7d)."

changed

Input schema / properties / audience / properties / excludeFilters / properties / rules / items / properties / operator / enum

Previous value: -[
-  "is",
-  "is_not",
-  "contains",
-  "not_contains",
-  "gt",
-  "lt",
-  "exists",
-  "missing",
-  "before",
-  "after"
-]New value: +[
+  "is",
+  "is_not",
+  "contains",
+  "not_contains",
+  "gt",
+  "gte",
+  "lt",
+  "lte",
+  "between",
+  "any_of",
+  "none_of",
+  "exists",
+  "missing",
+  "before",
+  "after"
+]

added

Input schema / properties / audience / properties / excludeFilters / properties / rules / items / properties / value / anyOf

Added value: +[
+  {
+    "type": [
+      "string",
+      "number",
+      "boolean"
+    ]
+  },
+  {
+    "items": {
+      "type": "string"
+    },
+    "type": "array"
+  }
+]

removedInput schema / properties / audience / properties / excludeFilters / properties / rules / items / properties / value / type
```
Removed value: -[
-  "string",
-  "number",
-  "boolean"
-]
```
addedInput schema / properties / audience / properties / excludeFilters / properties / rules / items / properties / value2
```
Added value: +{
+  "type": [
+    "string",
+    "number"
+  ]
+}
```

changedInput schema / properties / audience / properties / filters / description

Previous value: -"Conditions on contact fields. mode \"all\" or \"any\"; each rule is { field, operator, value }. Fields: contact.name, contact.email, contact.consent (subscribed | unknown | unsubscribed), contact.email_status, contact.product_id, contact.created_at, contact.last_seen_at, contact.attributes.<field> (tags are contact.attributes.tags), contact.events.<event>. Operators: is, is_not, contains, not_contains, gt, lt, exists, missing, before, after (dates are ISO or now-7d)."New value: +"Conditions on contact fields. mode \"all\" or \"any\"; each rule is { field, operator, value }. Fields: contact.name, contact.email, contact.consent (subscribed | unknown | unsubscribed), contact.email_status, contact.product_id, contact.created_at, contact.last_seen_at, contact.attributes.<field> (tags are contact.attributes.tags), contact.events.<event>. Operators: is, is_not, contains, not_contains, gt, gte, lt, lte, between (value and value2), any_of and none_of (value is a list of strings), exists, missing, before, after (dates are ISO or now-7d)."

changedInput schema / properties / audience / properties / filters / properties / rules / items / properties / operator / enum

Previous value: -[
-  "is",
-  "is_not",
-  "contains",
-  "not_contains",
-  "gt",
-  "lt",
-  "exists",
-  "missing",
-  "before",
-  "after"
-]New value: +[
+  "is",
+  "is_not",
+  "contains",
+  "not_contains",
+  "gt",
+  "gte",
+  "lt",
+  "lte",
+  "between",
+  "any_of",
+  "none_of",
+  "exists",
+  "missing",
+  "before",
+  "after"
+]

addedInput schema / properties / audience / properties / filters / properties / rules / items / properties / value / anyOf

Added value: +[
+  {
+    "type": [
+      "string",
+      "number",
+      "boolean"
+    ]
+  },
+  {
+    "items": {
+      "type": "string"
+    },
+    "type": "array"
+  }
+]

removedInput schema / properties / audience / properties / filters / properties / rules / items / properties / value / type
```
Removed value: -[
-  "string",
-  "number",
-  "boolean"
-]
```
addedInput schema / properties / audience / properties / filters / properties / rules / items / properties / value2
```
Added value: +{
+  "type": [
+    "string",
+    "number"
+  ]
+}
```

First observedOct 18, 2026

TDQS

A4/5.0

Behavior4/5

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

With annotations already covering mutation and safety hints, the description adds important behavior: it creates a draft, nothing is sent, the AI must be set up, and output is constrained to facts in the brief. It does not explain failure behavior when AI is not configured, but the core behavioral traits are disclosed.

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

Conciseness5/5

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

Three short sentences, front-loaded with the main action and followed by the key safety and prerequisite notes. Every sentence earns its place.

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?

For a 7-parameter tool with nested audience objects and no output schema, the description covers the core action, draft-review behavior, and AI prerequisite. It does not describe the return value such as the draft ID, but the schema is rich enough that the remaining gap is minor.

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

Parameters3/5

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

Schema description coverage is 86%, so the schema already does most of the parameter documentation. The description reinforces the meaning of 'brief' with the facts-only constraint but adds no detail about format, layout, audience, or productId, making the baseline 3 appropriate.

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

Purpose4/5

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

The description states a specific action and outcome: the AI writes a newsletter from a brief and saves it as a draft. It distinguishes the AI-generated draft from manual creation implicitly through 'AI model' and 'from a brief', though it does not explicitly contrast with the sibling create_newsletter.

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

Usage Guidelines4/5

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

It gives clear context for when to use it — when you want an AI-written draft from a brief — and states the prerequisite of AI being configured in Settings. It does not name alternatives or exclusions, so it falls short of a 5.

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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