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Create Channel

neuron_create_channel

Create a new WhatsApp channel with either Meta Cloud API or Baileys (direct WhatsApp) integration. Meta Cloud channels require metaPhoneNumberId and metaAccessToken.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the channel
typeYesIntegration type: 'meta_cloud' for Meta Cloud API or 'baileys' for direct WhatsApp connection
phoneNumberNoPhone number for the channel (E.164 format, e.g., '+2348012345678')
metaAccessTokenNoMeta Access Token (required for meta_cloud type)
metaPhoneNumberIdNoMeta Phone Number ID (required for meta_cloud type)

TDQS

A4/5.0
Behavior3/5

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

The description indicates this is a write operation (create) and provides conditional parameter requirements. Annotations already show readOnlyHint=false and destructiveHint=false. The description adds context about integration types but does not disclose additional behavioral traits such as idempotency, permission requirements, or side effects. Given limited annotations, more behavioral detail would be beneficial.

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?

The description is extremely concise: two sentences, each serving a distinct purpose. The first sentence states the core functionality, and the second sentence adds crucial conditional information. No wasted words.

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?

Without an output schema, the description does not explain return values. However, it covers the main purpose, integration types, and key parameter dependencies. For a creation tool of moderate complexity, this is largely sufficient, though it could mention potential errors or post-creation steps.

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 100%, so the input schema already provides complete parameter descriptions. The description adds minimal value beyond restating the conditional requirement for meta_cloud type parameters. It does not explain parameter syntax or provide examples.

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 clearly states the tool creates a new WhatsApp channel with two integration types (Meta Cloud API or Baileys). It uses a specific verb 'create' and resource 'WhatsApp channel', and distinguishes from sibling tools like neuron_create_social_channel by focusing on WhatsApp-specific integration.

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?

The description explicitly states when to use this tool (for creating WhatsApp channels) and includes a conditional requirement: Meta Cloud channels need metaPhoneNumberId and metaAccessToken. However, it does not explicitly state when not to use it or compare it to alternatives like neuron_add_bot_channel or neuron_set_default_channel.

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

B3.4/5.0
Disambiguation3/5

Most tools are clearly separated by resource type, but there is meaningful overlap in messaging entry points (send_message, send_whatsapp, compose_message, bot_api_send) and contact ingestion/sync tools (import_contacts, populate_contacts, sync_whatsapp_contacts). The descriptions help disambiguate, but with 309 tools an agent will frequently need to read closely to pick the right one.

Naming Consistency4/5

The overwhelming majority of tools follow a consistent verb_noun snake_case pattern: create_*, get_*, list_*, update_*, delete_*. Minor deviations like sales_stats, lead_stats, wallet_balance, and whoami break the pattern slightly, but overall naming is highly predictable.

Tool Count1/5

309 tools is an extreme count for any MCP server, even a broad platform. This creates significant cognitive load and navigation overhead for agents, and far exceeds the well-scoped 3-15 tool range where coherence is strongest.

Completeness4/5

The tool surface is remarkably comprehensive across bots, contacts, campaigns, flows, knowledge bases, personas, marketplace, wallet, and products. Minor gaps exist — lead sources lack update/delete tools, and there is no single get_task or get_webhook alongside their list/update/delete counterparts — but these are workable gaps rather than dead ends.

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