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Bot API Get Messages

neuron_bot_api_get_messages

Retrieve paginated message history from a specific conversation. Requires a valid API key and conversation ID.

Instructions

Retrieve message history for a specific conversation with pagination support. Requires a valid API key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoOptional maximum number of messages to retrieve (default: 50)
apiKeyYesThe bot API key starting with 'nrn_' prefix for authentication
beforeNoOptional cursor for pagination - retrieve messages before this message ID or timestamp
conversationIdYesThe unique identifier of the conversation
Behavior2/5

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

With empty annotations, the description carries full burden for behavioral traits. It only mentions authentication need and pagination support, but omits details like rate limits, read-only nature, error handling, or what happens on auth failure. The description is too brief to be transparent.

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 extremely concise with two sentences. It front-loads the key action and requirement, wasting no words. Every sentence contributes meaning.

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 lack of output schema and annotations, the description should provide more context on return format, pagination details, and error scenarios. The minimal description leaves the agent without critical information for correct usage.

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 all parameters are documented in the schema. The description adds context by framing parameters under 'message history retrieval with pagination', but does not provide additional semantic meaning beyond the schema descriptions. 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 verb 'Retrieve', the resource 'message history', and the scope 'for a specific conversation'. It also mentions pagination support, which is a key differentiator from sibling tools like 'neuron_get_messages'.

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?

The description provides no guidance on when to use this tool versus alternatives. It only states the authentication requirement ('Requires a valid API key'), but does not compare with other message retrieval tools or specify when not to use it.

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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