Skip to main content
Glama
AxLabs

Banana Accounting MCP Server

by AxLabs

Budget account card

banana_budget_card
Read-only

Retrieve budget transactions for an account from Banana Accounting. Use optional period, filter, and column parameters to get targeted JSON or HTML data.

Instructions

Return the budget card (budget transactions) for an account. 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.
viewNoXML name of the view to return.
filterNoJavaScript expression to filter transactions, e.g. filter=row.value("Date")==="2024-01-15". Available: row, rowNr, table.
formatNoResponse format. Defaults to "json" for machine-readable output.
periodNoPeriod filter: an abbreviation like "Q1"/"3M"/"1Y" or a date range "2024-01-01/2024-03-31".
accountYesAccount id, e.g. "1000".
columnsNoComma-separated XML names of columns to return, e.g. "Account,Description,Balance".
navigationNoWhen true, include the HTML page navigation (only relevant for html format).
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds that it defaults to JSON and clarifies the output as 'budget transactions', but does not disclose other behavioral traits such as document prerequisites or response structure.

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 of 14 words, front-loaded with the key action and scope. It is efficient and contains no redundant information beyond what is necessary.

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?

Given the tool has 8 parameters, no output schema, and many sibling card/budget tools, the description is too sparse. It does not define what a 'budget card' is, what the response looks like, or when to prefer this over banana_budget, leaving important gaps for the 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?

The schema provides 100% coverage with descriptions for all 8 parameters, so the description adds little beyond the schema. The only addition, 'Defaults to JSON', is already present in the format parameter's schema description.

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 a specific verb ('Return'), resource ('budget card (budget transactions)'), and scope ('for an account'). It distinguishes from sibling tools by using 'budget card', though the overlap with banana_budget is not explicitly addressed.

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?

The description offers no guidance on when to use this tool versus alternatives like banana_budget or banana_account_card. It does not mention when-not-to-use or provide any context for selection among sibling tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AxLabs/banana-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server