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Attach Knowledge Base

neuron_attach_knowledge_base

Attach a knowledge base to a bot to provide domain-specific knowledge for improved responses. Set optional priority for retrieval order.

Instructions

Attach a knowledge base to a bot to enhance its responses with specific domain knowledge. Optional priority determines retrieval order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique identifier of the bot
priorityNoOptional priority level for knowledge base retrieval (higher priority is checked first)
knowledgeBaseIdYesThe unique identifier of the knowledge base to attach
Behavior3/5

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

With no annotations, the description must disclose behavioral traits. It mentions attachment and priority but does not cover potential side effects (e.g., overwriting existing attachments), authentication needs, or error handling. Adequate for a simple operation but lacks depth.

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 action and adding optional detail. No redundant information.

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 mutation tool with no output schema, the description explains the effect and optional priority. It lacks details on prerequisites or return values, but is mostly complete given the low complexity.

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 clear descriptions. The description adds no new parameter insights beyond the schema, so baseline 3 is appropriate.

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 action ('Attach a knowledge base to a bot') and the purpose ('enhance its responses with specific domain knowledge'). It distinguishes from siblings like 'neuron_detach_knowledge_base' and 'neuron_create_knowledge_base' by specifying attachment of an existing KB.

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?

The description implies when to use the tool (attaching a KB to a bot) and mentions optional priority. However, it does not explicitly state when not to use it or provide alternatives, though the context from sibling tools is clear.

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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