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Send Message

neuron_send_message

Send a message to a specific conversation by providing the conversation ID and content. Supports text, image, and document types.

Instructions

Send a message to a specific conversation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique identifier of the conversation
contentYesThe message content to send
mediaUrlNoURL of media to attach (for image/document message types)
messageTypeNoType of message (e.g., 'text', 'image', 'document'). Defaults to 'text'.
Behavior2/5

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

The description does not disclose behavioral traits beyond the annotations. It does not mention potential side effects (e.g., message delivery, persistence), required permissions, or rate limits. Annotations provide minimal safety cues but the description adds no further value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundancy. However, it is overly concise, lacking details that could clarify intent without becoming verbose.

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 tool has 4 parameters and no output schema, the description is insufficient. It does not explain return values, error conditions, or the effect of sending a message. With minimal annotation context, the description should provide more completeness.

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 baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions. It does not clarify how parameters interact or provide examples.

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 'send a message' and the target 'a specific conversation'. However, it does not differentiate from sibling tools like neuron_compose_message or neuron_bot_api_send, which may have overlapping functionality.

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 on when to use this tool versus alternatives. The description lacks context on prerequisites, such as needing a valid conversation id, or when other tools might be more 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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