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Accounting Ledger MCP Server

by dougdaley

create_ledger

Set up a complete accounting ledger: create database tables, default reporting entity, currency, chart of accounts, and taxes.

Instructions

Sets up the ledger by:
- Creating the SQLAlchemy engine from configuration.
- Running migrations to create tables.
- Creating a default reporting entity, currency, chart of accounts, and taxes if not present.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_nameYes
Behavior3/5

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

With no annotations, the description must disclose behavior. It honestly lists side effects (creating engine, migrating schema, inserting defaults) and notes the 'if not present' condition. However, it does not cover potential risks like destructive migrations, required permissions, or reversibility, leaving transparency 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 compact three-item bullet list, front-loaded with the purpose statement. Every line adds concrete action information, and there is no redundant or filler text.

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?

Despite the small surface area (one parameter, no output schema), the description is incomplete because it ignores the only required parameter, which is essential for invocation. It also doesn't address return values or prerequisites, leaving the agent without a full picture of how to use the tool correctly.

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 schema has one required parameter `entity_name` with zero description coverage, and the tool description does not mention it at all. This is critical: an agent cannot infer what `entity_name` represents (e.g., the ledger name, the default reporting entity's name) or its format. The description fails to compensate for the lack of schema descriptions.

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 tool's purpose as setting up the ledger, listing specific actions: creating the SQLAlchemy engine, running migrations, and creating default entities. This distinguishes it from sibling tools that record transactions or generate reports.

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

Usage Guidelines3/5

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

While the description implies the tool is for initial ledger setup, it does not explicitly state when to use it versus alternatives, nor does it provide exclusions or prerequisites. The mention of defaults 'if not present' hints at idempotent setup but lacks clear guidance such as 'run before other tools.'

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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