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Update Bot Task

neuron_update_task

Update a scheduled task's instruction, schedule, timezone, enabled state, or config. Only provided fields change.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesUUID of the task
titleNo
configNoSafety / execution config for the task.
enabledNo
scheduleNoSchedule payload matching scheduleKind. cron: { time: 'HH:MM', days?: number[] } (0=Sunday..6=Saturday; empty/omitted = every day). interval: { everyMinutes: number }. once: { runAt: ISO8601 string }. manual: {}.
timezoneNo
instructionNo
scheduleKindNocron = recurring at a clock time (slot); interval = every N minutes; once = a single future moment; manual = only runs on demand.

TDQS

B3.4/5.0
Behavior3/5

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

Annotations are all false, so the description must disclose behavior. The phrase 'Only provided fields change' usefully indicates a partial update, implying non-provided fields remain untouched. However, it does not describe side effects (e.g., whether changing schedule or enabled state takes effect immediately, or whether validation is performed). This is a moderate disclosure.

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 sentence that is front-loaded with the action and target, then enumerates the updateable fields. It adds the key partial-update behavior without unnecessary words. Every clause 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?

The tool has nested config and schedule objects and no output schema, but the input schema provides rich descriptions for schedule and config. The description still misses important context such as what is returned, whether the update is atomic, and how required fields (id) are handled. It is adequate but not fully complete for a complex update operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 50%, but the description merely lists top-level field names without adding meaning to the undocumented fields (title, enabled, timezone, instruction). It does not explain defaults, validation rules, or how scheduleKind interacts with schedule. This does not compensate for the schema's gaps.

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 uses a specific verb ('Update') and identifies the resource ('a scheduled task') with a clear list of mutable fields (instruction, schedule, timezone, enabled state, config). This distinguishes it from sibling tools like create/delete/toggle by clearly stating it modifies an existing scheduled task.

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 explicit guidance is given about when to use this tool versus alternatives. In particular, the 'enabled state' overlaps with the sibling tool neuron_toggle_task, and the description does not clarify whether to use this or the toggle tool for enabling/disabling. It also does not mention prerequisites like the task's existing scheduleKind or id.

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