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List Contacts

neuron_list_contacts
Read-onlyIdempotent

Retrieve all contacts for the current organization with optional filtering by search term, tag, and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagNoTag name to filter contacts by category
pageNoPage number for pagination (default: 1)
limitNoNumber of contacts per page (default: 20)
searchNoSearch term to filter contacts by name, phone number, or email address
doNotBroadcastNoFilter to contacts that are (true) or are not (false) excluded from broadcasts
doNotAutoRespondNoFilter to contacts the bot will never (true) / may (false) auto-respond to

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about the organization scope and filtering options but does not disclose additional behavioral traits (e.g., default pagination behavior or that unfiltered returns all contacts). There is no contradiction with annotations.

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 a single, well-structured sentence that states the core function and key optional features. Every word earns its place with no redundancy or unnecessary detail.

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 read-only listing tool with thorough annotations and complete schema descriptions, the description is adequate. It gives the key purpose and filter options, but lacks explicit differentiation from sibling search/export tools and does not mention all filter types in prose. Overall, it is complete enough for a simple filtered-list operation.

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%, with all six parameters having descriptions. The description repeats 'search term, tag, and pagination' which maps to search, tag, page/limit, but omits doNotBroadcast and doNotAutoRespond. Since the schema already provides full parameter semantics, the description adds minimal extra value, matching the baseline of 3.

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 clearly states the action ('Retrieve'), resource ('all contacts'), and scope ('for the current organization'), and mentions optional filtering and pagination. However, it does not explicitly distinguish this from sibling tools like neuron_search_contacts or neuron_semantic_search_contacts, so it falls short of full differentiation.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives such as neuron_search_contacts, neuron_export_contacts, or neuron_get_contact. The description implies a general listing use case but does not state exclusions or preferred scenarios, leaving the agent to infer when this tool is appropriate.

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