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Create Contact

neuron_create_contact

Create a new contact in the organization's address book. If notes are provided, they are saved as a structured note entry with source tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesFull name of the contact
tagsNoTags to categorize the contact (e.g., ['vendor', 'lagos'])
emailNoEmail address of the contact
notesNoAdditional notes about the contact, saved as a structured entry
phoneYesContact phone number in E.164 format (e.g., +2348012345678)
doNotBroadcastNoIf true, this contact is permanently excluded from all broadcasts
doNotAutoRespondNoIf true, the bot will never auto-respond to this contact (manual/API and human sends still work)

TDQS

A4/5.0
Behavior4/5

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

Annotations already indicate a non-read-only, non-destructive mutation. The description adds useful context about notes being saved as a structured entry with source tracking, which goes beyond the schema. However, it doesn't disclose potential side effects like duplicate contact handling or permission requirements.

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 two sentences long, front-loaded with the primary action, and contains no unnecessary words. Every sentence adds value, and the additional note about notes is relevant.

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 create operation with 7 fully-described parameters and no output schema, the description is adequate. It clarifies the scope (organization's address book) and a key side effect (structured notes). It doesn't explicitly state the return value, but that is a minor gap given the schema richness.

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 parameters are fully documented in the schema itself. The description adds no additional meaning beyond what the schema already provides, except for briefly noting the notes behavior which is also in the schema.

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 'Create a new contact in the organization's address book' with a specific verb and resource. It distinguishes from sibling tools like create_contact_list, update_contact, and delete_contact by targeting the contact resource specifically.

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?

Usage is implied from the tool name and description, but no explicit guidance is given on when to use this versus alternatives like import_contacts or add_to_contact_list. The description does not provide exclusions or alternative recommendations.

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.

Resources