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AxLabs

Banana Accounting MCP Server

by AxLabs

Info table

banana_info_table
Read-only

Retrieves the file info table for an accounting document, with options for JSON or HTML format and selected columns. Useful for accessing document metadata from Banana Accounting.

Instructions

Return the file info table for a document. Defaults to JSON.

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.
formatNoResponse format. Defaults to "json" for machine-readable output.
columnsNoComma-separated XML names of columns to return.
navigationNoInclude HTML navigation (html format only).
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the read-only nature is covered. The description adds the default JSON format, which is useful, but provides no additional behavior details such as output structure or edge cases.

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 is direct and front-loaded. Every word contributes to conveying the core function and default format.

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?

The tool is simple and the schema/annotations cover much of the context. However, the description does not clarify what exactly the 'file info table' contains or when this tool is preferable to related info tools, leaving some gap for an agent.

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%, and every parameter has a descriptive comment. The description's 'Defaults to JSON' merely restates what the format parameter already explains, so it adds minimal value beyond the schema.

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 states a specific verb and resource: 'Return the file info table for a document.' This is clear and indicates the tool's scope, though it does not explicitly differentiate from the related sibling 'banana_info_value' beyond the word 'table'.

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 given on when to use this tool versus alternatives like banana_info_value or banana_infos. The 'Defaults to JSON' note hints at format but not at selection criteria or exclusions.

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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