Skip to main content
Glama

Create Contact List

neuron_create_contact_list

Create a new contact list for static, dynamic, or merged types. For dynamic lists, provide criteria with rules or AI prompts to populate contacts automatically.

Instructions

Create a new contact list. Slug is auto-generated from name if not provided. For dynamic lists, provide criteria with rules and/or aiPrompt.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesDisplay name for the list
slugNoURL-friendly identifier (auto-generated if omitted)
typeNoList type (default: static)
criteriaNoFor dynamic lists: { rules?: { operator, conditions }, aiPrompt?, aiMaxResults? }
descriptionNoOptional description
refreshScheduleNoRefresh schedule for dynamic lists (default: manual)
Behavior3/5

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

With no annotations, the description carries full burden. It discloses auto-generation and criteria requirements but omits side effects, permissions, error states, or reversibility.

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?

Two sentences, front-loads the main action, and every word adds value. No fluff or redundancy.

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?

Covers creation logic well for a 6-parameter tool with nested objects. No output schema, so return values are unspecified, but description suffices for agent to invoke correctly.

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 coverage is 100%, so baseline is 3. The description adds value by explaining slug auto-generation and criteria usage, but does not significantly expand beyond schema descriptions.

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 contact list, with specific details on slug auto-generation and criteria for dynamic lists. It is distinct from sibling tools like neuron_create_contact or neuron_merge_contact_lists.

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?

Provides guidance on when to use dynamic lists (with criteria) and mentions that slug is auto-generated. However, it lacks explicit when-not-to-use instructions or comparisons with alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/conquext/neuron-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server