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EmjayAhn

Pensieve MCP Server

by EmjayAhn

load_conversation

Retrieve saved conversations from the Pensieve MCP Server to continue previous discussions across AI platforms using a conversation ID.

Instructions

저장된 대화를 불러옵니다

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_idYes불러올 대화 ID

Implementation Reference

  • The implementation of the load_conversation handler function that retrieves conversation data from the filesystem.
    def load_conversation(conversation_id: str) -> Optional[Dict[str, Any]]:
        """대화를 파일 시스템에서 불러오기"""
        # 캐시 확인
        if conversation_id in conversation_cache:
            return conversation_cache[conversation_id]
        
        # 파일에서 로드
        file_path = STORAGE_DIR / f"{conversation_id}.json"
        if file_path.exists():
            with open(file_path, 'r', encoding='utf-8') as f:
                conversation_data = json.load(f)
                conversation_cache[conversation_id] = conversation_data
                return conversation_data
        
        return None
  • The core logic for loading a conversation from a JSON file.
    def load_conversation(conversation_id: str) -> Optional[Dict[str, Any]]:
        """대화를 파일 시스템에서 불러오기"""
        # 캐시 확인
        if conversation_id in conversation_cache:
            return conversation_cache[conversation_id]
        
        # 파일에서 로드
        file_path = STORAGE_DIR / f"{conversation_id}.json"
        if file_path.exists():
            with open(file_path, 'r', encoding='utf-8') as f:
                conversation_data = json.load(f)
                conversation_cache[conversation_id] = conversation_data
                return conversation_data
        
        return None
  • The MCP tool registration schema for load_conversation, defining its input requirements.
    Tool(
        name="load_conversation",
        description="저장된 대화를 불러옵니다",
        inputSchema={
            "type": "object",
            "properties": {
                "conversation_id": {
                    "type": "string",
                    "description": "불러올 대화 ID"
                }
            },
            "required": ["conversation_id"]
  • Registration of the 'load_conversation' tool with its schema definition in mcp_server/server.py.
    Tool(
        name="load_conversation",
        description="저장된 대화를 불러옵니다",
        inputSchema={
            "type": "object",
            "properties": {
                "conversation_id": {
                    "type": "string",
                    "description": "불러올 대화 ID"
                }
            },
            "required": ["conversation_id"]
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('불러옵니다' - loads) but doesn't clarify if this is a read-only operation, what permissions are required, how errors are handled (e.g., invalid ID), or the return format. This leaves significant gaps in understanding the tool's behavior beyond the basic action.

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 a single, efficient sentence ('저장된 대화를 불러옵니다') that directly states the tool's purpose without unnecessary words. It's appropriately sized for a simple tool, though it could be more front-loaded with additional context if needed.

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

Completeness2/5

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

Given the tool's complexity (a read operation with one parameter) and the absence of annotations and output schema, the description is incomplete. It doesn't explain what '불러옵니다' entails (e.g., returns conversation data, metadata, or both), error conditions, or how it fits with siblings, making it inadequate for full contextual understanding.

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?

The input schema has 100% description coverage, with 'conversation_id' clearly documented as '불러올 대화 ID' (ID of the conversation to load). The description doesn't add any meaning beyond this, such as format examples or sourcing hints. According to the rules, with high schema coverage, the baseline is 3 even without param info in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description '저장된 대화를 불러옵니다' (Loads a saved conversation) clearly states the verb ('불러옵니다' - loads) and resource ('저장된 대화' - saved conversation), making the basic purpose understandable. However, it doesn't differentiate from siblings like 'search_conversations' or 'list_conversations' in terms of scope or function, leaving the distinction ambiguous.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a conversation_id from 'list_conversations'), exclusions, or comparisons to siblings like 'search_conversations' for filtering or 'append_to_conversation' for updates, leaving usage context unclear.

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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