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GaijinEntertainment

Pararam Nexus MCP

send_message

Send messages to chats on the Pararam.io platform, optionally replying to or quoting existing messages to facilitate communication.

Instructions

Send a message to a chat.

Args: chat_id: ID of the chat to send message to text: Message text to send reply_to_message_id: Post number to reply to (optional) quote_text: Text to quote from the replied message (optional, only used with reply_to_message_id)

Returns: ToolResponse with SendMessagePayload containing sent message details including message ID and timestamp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_idYes
textYes
reply_to_message_idNo
quote_textNo

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
Behavior2/5

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

With no annotations provided, the description carries full burden but provides minimal behavioral context. It mentions that the tool returns message details, but doesn't disclose critical traits like whether this requires specific permissions, if messages are editable after sending, rate limits, or error conditions. The description is functional but lacks operational transparency.

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 well-structured with clear 'Args' and 'Returns' sections. Each sentence adds value: the opening statement defines the purpose, parameter explanations are necessary, and the return information is useful. It could be slightly more concise by integrating the optional parameter dependencies into a single sentence.

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?

Given the tool has an output schema (returns SendMessagePayload), the description doesn't need to detail return values. However, for a mutation tool with no annotations, it should provide more behavioral context about side effects, permissions, or limitations. The parameter explanations are good, but overall completeness is adequate with clear gaps.

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

Parameters4/5

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

With 0% schema description coverage, the description compensates well by explaining all 4 parameters. It clarifies that 'chat_id' identifies the target chat, 'text' is the message content, 'reply_to_message_id' is optional and refers to a 'Post number', and 'quote_text' is only used with replies. This adds meaningful context beyond the bare schema types.

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 specific action ('Send a message') and target resource ('to a chat'), distinguishing it from sibling tools like 'get_chat_messages' (read) or 'upload_file_to_chat' (file upload). It goes beyond the tool name by specifying the chat context.

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 is provided on when to use this tool versus alternatives. For example, it doesn't mention whether this is for direct messaging versus group chats, or how it differs from 'build_conversation_thread' or 'upload_file_to_chat'. The description only lists parameters without contextual usage advice.

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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