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chatwoot_get_conversation_messages

Read-only

Retrieves the complete message history for a specified conversation, returning it in markdown or JSON format for easy analysis or display.

Instructions

Returns the complete message history of a conversation.

Args:
    conversation_id: Conversation ID.
    output_format: Output format.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_formatNomarkdown
conversation_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the safety profile. The description adds that the result is the complete message history, but it does not disclose pagination, ordering, or output shape; it is minimal but not contradictory.

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 appropriately short and front-loads the core behavior. The Args block is redundant with the schema, but it does not meaningfully bloat the definition.

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

Completeness3/5

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

For a simple 2-parameter read tool with annotations, the description is nearly sufficient. However, there is no output schema and no explanation of what markdown vs json output actually changes, leaving ambiguity about the return value.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description needed to compensate. Instead, the Args block merely restates the schema: 'conversation_id: Conversation ID' and 'output_format: Output format' add no semantic value beyond the titles.

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?

Clearly states a specific verb ('Returns') and resource ('complete message history of a conversation'), which differentiates it from metrics/list siblings. However, it does not explicitly call out an alternative tool, so it stops short of a top score.

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 gives no when-to-use guidance or exclusions. It does not indicate when to choose this over chatwoot_get_contact_conversations or other chatwoot_* readers, so the agent must infer usage from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.