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Substack MCP Server and API by Cotlet

by dev.cotlet
OverviewDiscussionsAdmin

Get conversation

get_conversation
Read-onlyIdempotent

The latest messages of one direct-message conversation, oldest first. Returns who is in the conversation and its latest messages as the chat window first shows them, oldest first, with sender, text and time. Opening a conversation this way marks nothing read.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "conversation_id": "<conversation_id>"
    },
    "name": "get_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault
conversation_idYesConversation ID from list_conversations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive. The description adds a genuinely useful behavioral detail beyond that: 'Opening a conversation this way marks nothing read,' which tells an agent this read has no side effect on unread state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Reasonably front-loaded, but 'oldest first' is repeated twice and 'latest messages' appears in both sentences, making it feel redundant rather than crisp.

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?

With no output schema, the description steps up to describe the return payload: who is in the conversation, messages with sender, text and time, in order. That is sufficient for an agent to know what it gets back.

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% and already documents conversation_id as coming from list_conversations. The description adds no parameter detail beyond the schema, so the baseline 3 is appropriate.

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?

States a specific verb and resource: retrieves the latest messages of one direct-message conversation. It implicitly distinguishes from list_conversations by emphasizing 'one' conversation, though it never names the sibling explicitly.

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?

Usage is implied (open one conversation to view its messages), and the schema points to list_conversations for the ID. But the description gives no explicit when-to-use versus alternatives or when-not-to-use guidance.

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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