Skip to main content
Glama
GaijinEntertainment

Pararam Nexus MCP

build_conversation_thread

Retrieves all messages in a conversation thread starting from a specified root message, including nested replies, recursively sorted by post number.

Instructions

Build a conversation thread starting from a root message.

Returns all messages that are replies to the root message or replies to those replies, recursively.

Args: chat_id: ID of the chat root_message_id: Post number to use as root of the conversation limit: Maximum number of recent messages to load and search (default: 100)

Returns: ToolResponse with BuildConversationThreadPayload containing flat list of all posts in the thread, sorted by post_no. Each post contains reply_to_post_no to reconstruct the tree structure.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
chat_idYes
root_message_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoError message if operation failed
messageYesHuman-readable summary of the result
payloadNoThe actual response data
successYesWhether the operation was successful
Behavior5/5

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

Despite no annotations, the description fully discloses behavior: returns a flat list sorted by post_no, each post includes reply_to_post_no for tree reconstruction, and limits to recent messages via 'limit' parameter. No behavioral gaps remain.

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?

Description is well-structured with Args and Returns sections, front-loading the purpose. It is slightly verbose but every sentence adds value, earning a high score for clarity and organization.

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

Completeness5/5

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

Given the tool has an output schema (context signal), the description explains the return payload structure adequately. No missing information for effective use; all aspects are covered including parameters, behavior, and output format.

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

Parameters5/5

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

Schema coverage is 0%, so the description carries the full burden. It explains all three parameters: chat_id, root_message_id, and limit with default. This adds meaning beyond the schema's type definitions.

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 'Build' and resource 'conversation thread', specifying it starts from a root message and recursively retrieves all replies. This distinguishes it from siblings like 'get_replies_to_post' which likely returns only direct replies.

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

Usage Guidelines4/5

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

The description explains that the tool returns all replies recursively, implying its use for full thread retrieval. It lacks explicit 'when not to use' or comparison to alternatives, but the sibling list provides context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/GaijinEntertainment/pararam-nexus-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server