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Update Bot

neuron_update_bot

Update an existing bot's configuration including name, system prompt, model parameters, and WhatsApp channel association.

Instructions

Update an existing bot's configuration including name, system prompt, model parameters, and phone number association.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique identifier of the bot to update
nameNoThe new name of the bot
llmModelNoOpenRouter model ID (e.g., google/gemini-2.5-flash-lite-preview-09-2025, openrouter/auto)
maxTokensNoThe new maximum tokens limit
assignmentNoOne-sentence role definition (max 2000 chars)
systemPromptNoThe new system prompt for the bot
llmTemperatureNoThe new temperature parameter (0-2)
fallbackMessageNoFallback message when bot cannot understand (max 2000 chars)
greetingMessageNoAuto-greeting when a new conversation starts (max 2000 chars)
escalationPromptNoPrompt template for human handoff (max 5000 chars)
responsibilitiesNoArray of responsibility descriptions
whatsappChannelIdNoUUID of the WhatsApp channel to associate with the bot
Behavior2/5

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

Annotations are empty, so the description carries the full burden. It only states what is updated but does not disclose side effects (e.g., if partial updates are allowed, what happens on idempotent calls, error cases, or authorization requirements). Missing behavioral context beyond mutation.

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?

Single sentence that is front-loaded with the purpose and includes key details. No unnecessary words, efficient for an agent to parse.

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

Completeness2/5

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

Given the complexity (12 parameters, no output schema, no annotations), the description is too minimal. For a mutation tool, it should indicate what is returned (e.g., updated bot object) or success/failure signals. Lacks completeness for the agent to understand post-update behavior.

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 the baseline is 3. The description adds a summary list of fields but does not provide additional meaning beyond what the schema already includes. No enrichment of parameter constraints or semantics.

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?

Description uses specific verbs ('Update an existing bot's configuration') and lists specific fields (name, system prompt, model parameters, phone number). Clearly distinguishes from siblings like create_bot, delete_bot, and other update tools.

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 mention of when to use this tool versus alternatives (e.g., other update tools or create_bot). No prerequisites, when-not-to-use, or context provided. With many sibling update tools, this omission reduces clarity for an AI agent.

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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