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Notes MCP Server

by daikw

add-note

Create and store a new note by specifying its name and content, enabling quick organization and retrieval within the Notes MCP Server's streamlined storage system.

Instructions

Add a new note

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
nameYes

Implementation Reference

  • The @server.call_tool() decorated handler function that executes the 'add-note' tool logic: extracts name and content from arguments, stores in global notes dict, sends resource change notification, and returns confirmation text.
    @server.call_tool()
    async def handle_call_tool(
        name: str, arguments: dict | None
    ) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]:
        """
        Handle tool execution requests.
        Tools can modify server state and notify clients of changes.
        """
        if name != "add-note":
            raise ValueError(f"Unknown tool: {name}")
    
        if not arguments:
            raise ValueError("Missing arguments")
    
        note_name = arguments.get("name")
        content = arguments.get("content")
    
        if not note_name or not content:
            raise ValueError("Missing name or content")
    
        # Update server state
        notes[note_name] = content
    
        # Notify clients that resources have changed
        await server.request_context.session.send_resource_list_changed()
    
        return [
            types.TextContent(
                type="text",
                text=f"Added note '{note_name}' with content: {content}",
            )
        ]
  • JSON Schema defining the input parameters for the 'add-note' tool: required 'name' and 'content' as strings.
    inputSchema={
        "type": "object",
        "properties": {
            "name": {"type": "string"},
            "content": {"type": "string"},
        },
        "required": ["name", "content"],
    },
  • The 'add-note' tool is registered in the @server.list_tools() handler by returning a types.Tool instance with its name, description, and schema.
    return [
        types.Tool(
            name="add-note",
            description="Add a new note",
            inputSchema={
                "type": "object",
                "properties": {
                    "name": {"type": "string"},
                    "content": {"type": "string"},
                },
                "required": ["name", "content"],
            },
        )
    ]
  • Global notes dictionary used by the 'add-note' tool to store note name-content pairs.
    # Store notes as a simple key-value dict to demonstrate state management
    notes: dict[str, str] = {}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.8/5.0
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 only says 'Add a new note' and provides no details on side effects, permissions, return values, or error behavior.

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 short sentence with no wasted words, making it concise and front-loaded. However, it is under-specified for the tool's complexity, though this is largely a completeness issue rather than a conciseness issue.

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 lack of annotations, output schema, and parameter descriptions, a five-word description is insufficient for an agent to invoke the tool correctly. The meaning of the parameters and expected return behavior remain ambiguous.

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

Parameters1/5

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

The input schema has zero description coverage for the two required parameters ('name' and 'content'), and the description does not explain their meaning or format. The agent cannot infer what 'name' or 'content' represent.

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 uses a specific verb ('Add') and a specific resource ('note'), clearly stating the tool's function. It differentiates itself from the sibling 'get_report', which is a read operation.

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. The description only states the action without any context about when to invoke it or when to choose a sibling tool.

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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