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NightSquawk

@nightsquawktech/gohighlevel-mcp-server

by NightSquawk

Get GoHighLevel Conversation Messages

ghl_get_conversation_messages
Read-onlyIdempotent

Fetch messages from a specific conversation by ID, with pagination via limit and offset.

Instructions

List messages for a conversation with GET /conversations/{conversationId}/messages.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of items to return from the local page.
offsetNoNumber of items to skip locally after receiving the API response.
extra_queryNoOptional additional GoHighLevel fields to pass through when the API supports fields not modeled by this tool.
conversation_idYesConversation ID.
response_formatNoOutput format: markdown for human-readable summaries, json for structured output.markdown
Behavior3/5

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

Annotations (readOnlyHint, idempotentHint, destructiveHint=false) already indicate safe, read-only behavior. The description adds the endpoint details but does not reveal additional traits like pagination behavior, rate limits, or response structure. With annotations, this is adequate but not outstanding.

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, zero waste. Front-loads the core action and resource. Highly efficient.

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 simple read-only list tool with good schema coverage and annotations, the description covers the essential purpose. It lacks details on ordering or the extra_query parameter, but overall complete for its complexity class.

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 parameter descriptions. The tool description does not add any extra meaning beyond the schema. Baseline score of 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?

Description clearly states the action 'List messages' for a specific resource 'conversation', with the exact HTTP endpoint. This distinguishes it from siblings like ghl_search_conversations (search) and ghl_send_message (send).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (after obtaining a conversation ID) but does not explicitly state when to use this versus alternatives, nor when not to use it. No guidance on prerequisites or fallback tools.

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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