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Get Conversation Messages

neuron_get_messages
Read-onlyIdempotent

Fetch messages from a conversation by providing its ID, with optional pagination using limit and cursor.

Instructions

Retrieve messages from a specific conversation with optional pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe unique identifier of the conversation
limitNoMaximum number of messages to return per page
cursorNoPagination cursor for retrieving the next page of messages
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, covering safety and idempotency. Description adds no further behavioral context (e.g., pagination behavior), but does not contradict annotations.

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, 10 words, front-loaded with action and resource. No fluff or redundancy.

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?

Description lacks information about return format, pagination details (e.g., ordering, cursor usage), or what fields messages contain. For a read tool with no output schema, more context is needed for 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 description adds minimal value beyond 'optional pagination'. Does not explain semantics of 'cursor' or 'limit', but baseline is 3 for high coverage.

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?

Description clearly states 'Retrieve messages from a specific conversation with optional pagination', specifying verb and resource. However, it does not differentiate from sibling tool 'neuron_bot_api_get_messages', which also retrieves messages, slightly reducing clarity.

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 vs alternatives like 'neuron_bot_api_get_messages' or 'neuron_get_conversation'. Missing context about prerequisites or typical use cases.

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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