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cryptbrew

cryptbrew-mcp

Official
by cryptbrew

cryptbrew_about

Provides an overview of Cryptbrew's Bitcoin invoicing and tax-ready payment tracking for SMBs, helping users understand the product's core purpose and features.

Instructions

Overview of Cryptbrew: business Bitcoin invoicing and tax-ready payment tracking for SMBs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
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 behavioral burden. It never states that this is a static, zero-argument read operation, nor what form the overview takes (text blurb, markdown, structured fields). Only the topical content is disclosed; no operational traits are.

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?

A single front-loaded sentence with no filler or redundancy. It is appropriately sized for a trivial zero-param informational tool, though it spends most of its words on marketing framing rather than tool guidance.

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

Completeness3/5

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

For a zero-parameter info endpoint with no output schema, the description is minimal but not broken: it establishes the tool returns a product overview. It is nonetheless thin on what the agent gets back and when to prefer it over the many sibling informational tools, leaving a real gap in routing.

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?

The tool takes zero parameters, which is the baseline-4 case. There is nothing for the description to disambiguate, and the schema correctly shows an empty properties object.

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 states the resource ('Overview of Cryptbrew') and adds content scope ('business Bitcoin invoicing and tax-ready payment tracking for SMBs'), so an agent knows what the overview covers. However, 'Overview of Cryptbrew' largely restates the tool name 'cryptbrew_about', and there is no differentiation from near-neighbors like cryptbrew_how_it_works or cryptbrew_faq. Purpose is implied but not sharply distinguished from siblings.

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 when-to-use guidance is given, and the description does not contrast this tool with cryptbrew_how_it_works, cryptbrew_pricing, or cryptbrew_faq, all of which overlap in the 'about the product' space. An agent must guess which informational endpoint to call first.

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