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Update Organization

neuron_update_organization
Idempotent

Update organization settings such as name, description, or configuration preferences. Only provided fields are changed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew display name for the organization
orgIdYesUnique identifier (UUID) of the organization to update
autoOptOutBroadcastNoAuto-exclude a contact from broadcasts when they send a broadcast opt-out message (e.g. 'stop messaging me'). Off by default.
autoSuppressHostileNoAuto-exclude a contact from broadcasts when they are hostile about being contacted (e.g. cursing us out for messaging them). Off by default.

TDQS

A3.7/5.0
Behavior4/5

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

Annotations cover read-only, destructive, and idempotent hints, so the bar for additional behavioral disclosure is lower. The description adds meaningful partial-update semantics—'Only provided fields are changed'—which clarifies that unspecified settings remain unchanged, going beyond what annotations state.

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 concise sentences, front-loading the core purpose and adding a crucial usage caveat. No redundant or filler content; every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple update tool with clear annotations and full schema coverage, the description is adequate but not complete. It lacks explicit differentiation from sibling update_* tools and doesn't mention return behavior or permissions. The minor schema mismatch further prevents a higher score.

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 schema already documents all parameters. The description adds general partial-update context but also introduces 'description' and 'configuration preferences' that do not map to actual schema properties, creating minor ambiguity rather than enhancing parameter understanding.

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 tool updates organization settings, with a specific verb ('update') and resource ('organization settings'). However, it mentions updating 'description' and 'configuration preferences' that do not correspond directly to the schema's fields (name, autoOptOutBroadcast, autoSuppressHostile), which slightly dilutes precision.

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?

The description implies use for organization-level updates but provides no explicit guidance on when to use this tool versus siblings like update_group_settings or update_bot. It does add a partial-update note ('Only provided fields are changed'), but no alternatives or exclusions are mentioned.

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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