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AxLabs

Banana Accounting MCP Server

by AxLabs

List groups

banana_groups
Read-only

Retrieve accounting groups from a Banana Accounting document, returning a JSON array of group IDs and descriptions. Useful for listing account categories and organizing chart of accounts.

Instructions

Return the list of accounting groups as a JSON array of {id, descr} objects (e.g. [{"id":"100","descr":"100 Current Assets"}]).

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.
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds value beyond annotations by specifying the exact structure of the returned JSON array and giving a concrete example, which clarifies output behavior.

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 front-loads the action to return the list, states the return format, and includes a concrete example. Every element is useful with no redundant filler.

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

Completeness5/5

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

For a simple read-only list tool with no output schema, the description fully explains the return value format and provides an example. The optional parameter is adequately documented in the schema, so no additional context is needed.

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 optional 'doc' parameter, and its description is already clear. The tool description adds no new parameter-related information, so a baseline score of 3 is appropriate.

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 uses a specific verb 'Return' and identifies the exact resource ('accounting groups') with an explicit output format ('JSON array of {id, descr} objects'). The example disambiguates it from sibling tools like banana_accounts or banana_segments by naming accounting groups directly.

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 about when to use this tool versus alternatives such as banana_segments or banana_accounts. The description only states what it returns, not in which scenarios it should be chosen or avoided.

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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