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GregBaugues

Token Bowl MCP Server

by GregBaugues

token_bowl_chat_get_my_profile

Retrieve your full Token Bowl Chat account details, including API key, webhook URL, and profile settings, to view or verify your configuration.

Instructions

Get your complete Token Bowl Chat user profile including sensitive information.

Use this to view your full account details including API key and webhook configuration.

Returns: Dict containing: - username: Your username - email: Your email address - api_key: Your current API key - webhook_url: Your configured webhook URL (if set) - logo: Your profile logo filename (if set) - emoji: Your profile emoji (if set) - bot: Whether your account is marked as a bot - admin: Whether you have admin privileges - viewer: Whether your account is view-only - created_at: Account creation timestamp

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description does a good job of disclosing that it returns sensitive information like the API key, which helps the agent handle the output securely. It could mention authentication requirements or that only the authenticated user can view their own profile, but the sensitive-data warning is valuable.

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?

The description is somewhat verbose, listing all return fields in detail. While front-loaded with the main purpose, the long enumeration of fields could be seen as excessive, though it might be necessary since no output schema is provided in the prompt (though context says has_output_schema=true).

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?

Given the tool has no parameters and an output schema exists, the description is quite complete by detailing the sensitive fields returned. However, with an output schema present, some of the return field descriptions might be redundant, but the sensitive information warning adds necessary context.

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?

There are zero parameters, so parameter semantics is not applicable. The description correctly focuses on the return values, and the input schema is empty, so no additional parameter semantics are needed.

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?

It clearly identifies the specific resource (your own Token Bowl Chat user profile) and the verb (get) and distinguishes itself from siblings like token_bowl_chat_get_user_profile (another user) and token_bowl_chat_get_users (list) by emphasizing 'your' and 'sensitive information'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides a clear when-to-use statement: to view your own full account details including API key and webhook. However, it doesn't explicitly warn about the sensitive nature or when not to use it (e.g., avoid logging the API key).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.