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SunCreation

MCP Notion Server (@suncreation)

by SunCreation

notion_retrieve_bot_user

Retrieve the bot user associated with the current Notion API token to identify the authenticated account for workspace interactions.

Instructions

Retrieve the bot user associated with the current token in Notion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
random_stringYesDummy parameter for no-parameter tools
formatNoSpecify the response format. 'json' returns the original data structure, 'markdown' returns a more readable format. Use 'markdown' when the user only needs to read the page and isn't planning to write or modify it. Use 'json' when the user needs to read the page with the intention of writing to or modifying it.markdown

Implementation Reference

  • The main handler implementation that executes the tool logic - makes a GET request to Notion's /users/me endpoint to retrieve the bot user associated with the current token.
    async retrieveBotUser(): Promise<UserResponse> {
      const response = await fetch(`${this.baseUrl}/users/me`, {
        method: "GET",
        headers: this.headers,
      });
      return response.json();
    }
  • The switch case that handles the tool invocation when 'notion_retrieve_bot_user' is called, executing the notionClient.retrieveBotUser() method.
    case "notion_retrieve_bot_user": {
      response = await notionClient.retrieveBotUser();
      break;
    }
  • Registration of the tool schema in the allTools array that exposes the tool to the MCP server.
    schemas.retrieveBotUserTool,
  • Tool schema definition that defines the tool name 'notion_retrieve_bot_user', description, and input schema with a dummy parameter for no-parameter tools.
    export const retrieveBotUserTool: Tool = {
      name: "notion_retrieve_bot_user",
      description:
        "Retrieve the bot user associated with the current token in Notion",
      inputSchema: {
        type: "object",
        properties: {
          random_string: {
            type: "string",
            description: "Dummy parameter for no-parameter tools",
          },
          format: formatParameter,
        },
        required: ["random_string"],
      },
    };
  • Type definition for RetrieveBotUserArgs interface defining the expected input arguments for the tool.
    export interface RetrieveBotUserArgs {
      random_string: string;
      format?: "json" | "markdown";
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states this is a retrieval operation, implying it's read-only, but doesn't clarify authentication requirements (token-based), rate limits, error conditions, or response format details. For a tool with no annotation coverage, this leaves significant behavioral gaps.

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

Conciseness5/5

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

The description is a single, efficient sentence that directly states the tool's purpose with zero wasted words. It's appropriately sized for a simple retrieval tool and front-loaded with the core functionality.

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 no annotations and no output schema, the description is incomplete. It doesn't explain what the bot user data includes (e.g., ID, name, capabilities), how errors are handled, or authentication dependencies. For a tool that likely returns structured user data, more context is needed to use it effectively.

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 description coverage is 100%, so the schema fully documents both parameters. The description adds no parameter-specific information beyond what's in the schema (e.g., it doesn't explain why 'random_string' is required or provide context for the 'format' parameter). Baseline 3 is appropriate when the schema handles parameter documentation.

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 ('Retrieve') and resource ('the bot user associated with the current token in Notion'), distinguishing it from sibling tools like notion_retrieve_user (which retrieves any user) and notion_list_all_users (which lists all users). It precisely defines what this tool does.

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., token authentication), use cases (e.g., identifying the bot for permissions), or exclusions (e.g., not for retrieving human users). Without this context, the agent must infer usage from the tool name alone.

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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