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AxLabs

Banana Accounting MCP Server

by AxLabs

List VAT codes

banana_vatcodes
Read-only

Retrieve the list of VAT codes from a Banana Accounting document, returning each code's ID and description as JSON.

Instructions

Return the list of VAT codes as a JSON array of {id, descr} objects (e.g. [{"id":"V80","descr":"V80 Sales and services 8.0%"}]).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docNoAccounting document name as opened in Banana (e.g. "accounting.ac2"). Append "_p1", "_p2" for previous years. Defaults to BANANA_DEFAULT_DOC if set.
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds the return format (JSON array of {id, descr}) and an example, which is useful but does not provide further behavioral context like pagination or error handling.

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 sentence that efficiently communicates the output format and includes a concrete example. Every word earns its place with no redundancy.

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?

For a simple read-only tool with one optional parameter and good annotations, the description fully explains the return value and format. It lacks usage guidance, but the core functionality is well-specified and self-contained.

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% for the single 'doc' parameter, so the schema already explains its meaning. The description adds no additional parameter semantics, earning the baseline score.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns a list of VAT codes with a specific JSON structure, which is a specific verb+resource. It differentiates from sibling tools like banana_vat_description by indicating it lists all codes rather than describing a single one, though it doesn't explicitly name alternatives.

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 such as banana_vat_description or banana_vat_balance. The description only states what it does, leaving the agent to infer usage from its name and sibling context.

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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